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Large Language Models (128) · LLM (67) · large language models (45) · LLMs (40) · arXiv (39) · Large language models (14) · machine learning (13) · benchmark (13) · AI safety (11) · AI (11) · AI Research (11) · AI evaluation (10) · Reinforcement Learning (9) · AI Safety (8) · evaluation (8) · reasoning (8) · Retrieval-Augmented Generation (8) · Machine Learning (7) · AI Evaluation (6) · AI reliability (6)
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📰 Related News (369)
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🇺🇸 Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models
arXiv:2604.12390v1 Announce Type: new Abstract: This paper addresses two limitations of large language models (LLMs) in solving complex problems: (1)...
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🇺🇸 Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints
arXiv:2604.12384v1 Announce Type: new Abstract: Safety alignment in Large Language Models (LLMs) remains highly fragile during fine-tuning, where eve...
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🇺🇸 A Scoping Review of Large Language Model-Based Pedagogical Agents
arXiv:2604.12253v1 Announce Type: new Abstract: This scoping review examines the emerging field of Large Language Model (LLM)-based pedagogical agent...
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🇺🇸 Blending Human and LLM Expertise to Detect Hallucinations and Omissions in Mental Health Chatbot Responses
arXiv:2604.06216v1 Announce Type: cross Abstract: As LLM-powered chatbots are increasingly deployed in mental health services, detecting hallucinatio...
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🇺🇸 Automating Database-Native Function Code Synthesis with LLMs
arXiv:2604.06231v1 Announce Type: cross Abstract: Database systems incorporate an ever-growing number of functions in their kernels (a.k.a., database...
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🇺🇸 Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models
arXiv:2604.06263v1 Announce Type: cross Abstract: Generative advertising in large language model (LLM) responses requires optimizing sponsorship conf...
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🇺🇸 Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
arXiv:2604.06266v1 Announce Type: cross Abstract: Software-Defined Networking (SDN) improves network flexibility but also increases the need for reli...
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🇺🇸 Towards the Development of an LLM-Based Methodology for Automated Security Profiling in Compliance with Ukrainian Cybersecurity Regulations
arXiv:2604.06274v1 Announce Type: cross Abstract: In recent years, the pace of development of information technology in various areas has increased d...
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🇺🇸 TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models
arXiv:2604.06291v1 Announce Type: cross Abstract: Low-Rank Adaptation (LoRA) enables parameter-efficient fine-tuning of Large Language Models (LLMs),...
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🇺🇸 FMI@SU ToxHabits: Evaluating LLMs Performance on Toxic Habit Extraction in Spanish Clinical Texts
arXiv:2604.06403v1 Announce Type: cross Abstract: The paper presents an approach for the recognition of toxic habits named entities in Spanish clinic...
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🇺🇸 The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning
arXiv:2604.06427v1 Announce Type: cross Abstract: The viability of chain-of-thought (CoT) monitoring hinges on models being unable to reason effectiv...
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🇺🇸 Inference-Time Code Selection via Symbolic Equivalence Partitioning
arXiv:2604.06485v1 Announce Type: cross Abstract: "Best-of-N" selection is a popular inference-time scaling method for code generation using Large La...
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🇺🇸 Distributed Interpretability and Control for Large Language Models
arXiv:2604.06483v1 Announce Type: cross Abstract: Large language models that require multiple GPU cards to host are usually the most capable models. ...
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🇺🇸 Improving Robustness In Sparse Autoencoders via Masked Regularization
arXiv:2604.06495v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) are widely used in mechanistic interpretability to project LLM activatio...
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🇺🇸 Scientific Knowledge-driven Decoding Constraints Improving the Reliability of LLMs
arXiv:2604.06603v1 Announce Type: cross Abstract: Large language models (LLMs) have shown strong knowledge reserves and task-solving capabilities, bu...
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🇺🇸 LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources
arXiv:2604.06571v1 Announce Type: cross Abstract: Missing-person and child-safety investigations rely on heterogeneous case documents, including stru...
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🇺🇸 SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning
arXiv:2604.06636v1 Announce Type: cross Abstract: Process supervision has emerged as a promising approach for enhancing LLM reasoning, yet existing m...
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🇺🇸 Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
arXiv:2604.06723v1 Announce Type: cross Abstract: In today's AI-assisted software engineering landscape, developers increasingly depend on LLMs that ...
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🇺🇸 Restoring Heterogeneity in LLM-based Social Simulation: An Audience Segmentation Approach
arXiv:2604.06663v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used to simulate social attitudes and behaviors, offe...
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🇺🇸 Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios
arXiv:2604.06742v1 Announce Type: cross Abstract: Large Language Models (LLMs) are driving a shift towards intent-driven development, where agents bu...
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🇺🇸 TeamLLM: A Human-Like Team-Oriented Collaboration Framework for Multi-Step Contextualized Tasks
arXiv:2604.06765v1 Announce Type: cross Abstract: Recently, multi-Large Language Model (LLM) frameworks have been proposed to solve contextualized ta...
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🇺🇸 On the Step Length Confounding in LLM Reasoning Data Selection
arXiv:2604.06834v1 Announce Type: cross Abstract: Large reasoning models have recently demonstrated strong performance on complex tasks that require ...
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🇺🇸 Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings
arXiv:2604.06863v1 Announce Type: cross Abstract: Skin-toned emojis are crucial for fostering personal identity and social inclusion in online commun...
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🇺🇸 MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors
arXiv:2604.06846v1 Announce Type: cross Abstract: Interactive medical dialogue benchmarks have shown that LLM diagnostic accuracy degrades significan...
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🇺🇸 SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training
arXiv:2604.06900v1 Announce Type: cross Abstract: The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of q...
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🇺🇸 The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era
arXiv:2604.06906v1 Announce Type: cross Abstract: As Large Language Models reshape the global labor market, policymakers and workers need empirical d...
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🇺🇸 Self-Preference Bias in Rubric-Based Evaluation of Large Language Models
arXiv:2604.06996v1 Announce Type: cross Abstract: LLM-as-a-judge has become the de facto approach for evaluating LLM outputs. However, judges are kno...
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🇺🇸 Attribution Bias in Large Language Models
arXiv:2604.05224v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly used to support search and information retrieval, it...
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🇺🇸 Adversarial Moral Stress Testing of Large Language Models
arXiv:2604.01108v1 Announce Type: new Abstract: Evaluating the ethical robustness of large language models (LLMs) deployed in software systems remain...
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🇺🇸 Eyla: Toward an Identity-Anchored LLM Architecture with Integrated Biological Priors -- Vision, Implementation Attempt, and Lessons from AI-Assisted Development
arXiv:2604.00009v1 Announce Type: cross Abstract: We present the design rationale, implementation attempt, and failure analysis of Eyla, a proposed i...
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🇺🇸 Quantifying Gender Bias in Large Language Models: When ChatGPT Becomes a Hiring Manager
arXiv:2604.00011v1 Announce Type: cross Abstract: The growing prominence of large language models (LLMs) in daily life has heightened concerns that L...
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🇺🇸 Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM Reasoning
arXiv:2604.00018v1 Announce Type: cross Abstract: Decoding strategies play a central role in shaping the reasoning ability of large language models (...
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🇺🇸 Can LLMs Perceive Time? An Empirical Investigation
arXiv:2604.00010v1 Announce Type: cross Abstract: Large language models cannot estimate how long their own tasks take. We investigate this limitation...
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🇺🇸 Dual Optimal: Make Your LLM Peer-like with Dignity
arXiv:2604.00979v1 Announce Type: cross Abstract: Current aligned language models exhibit a dual failure mode we term the Evasive Servant: they sycop...
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🇺🇸 Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks
arXiv:2604.01039v1 Announce Type: cross Abstract: System Instructions in Large Language Models (LLMs) are commonly used to enforce safety policies, d...
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🇺🇸 Fast and Accurate Probing of In-Training LLMs' Downstream Performances
arXiv:2604.01025v1 Announce Type: cross Abstract: The paradigm of scaling Large Language Models (LLMs) in both parameter size and test time has pushe...
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🇺🇸 The Energy Footprint of LLM-Based Environmental Analysis: LLMs and Domain Products
arXiv:2604.00053v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly used in domain-specific applications, including cl...
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🇺🇸 Hierarchical Pre-Training of Vision Encoders with Large Language Models
arXiv:2604.00086v1 Announce Type: cross Abstract: The field of computer vision has experienced significant advancements through scalable vision encod...
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🇺🇸 Genesis: Evolving Attack Strategies for LLM Web Agent Red-Teaming
arXiv:2510.18314v2 Announce Type: replace Abstract: As large language model (LLM) agents increasingly automate complex web tasks, they boost producti...
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🇺🇸 Auto-Formulating Dynamic Programming Problems with Large Language Models
arXiv:2507.11737v2 Announce Type: replace Abstract: Dynamic programming (DP) is a fundamental method in operations research, but formulating DP model...
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🇺🇸 Bethe Ansatz with a Large Language Model
arXiv:2603.29932v1 Announce Type: cross Abstract: We explore the capability of a Large Language Model (LLM) to perform specific computations in mathe...
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🇺🇸 GISTBench: Evaluating LLM User Understanding via Evidence-Based Interest Verification
arXiv:2603.29112v1 Announce Type: new Abstract: We introduce GISTBench, a benchmark for evaluating Large Language Models' (LLMs) ability to understan...
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🇺🇸 Theory of Mind and Self-Attributions of Mentality are Dissociable in LLMs
arXiv:2603.28925v1 Announce Type: cross Abstract: Safety fine-tuning in Large Language Models (LLMs) seeks to suppress potentially harmful forms of m...
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🇺🇸 Understand and Accelerate Memory Processing Pipeline for Disaggregated LLM Inference
arXiv:2603.29002v1 Announce Type: cross Abstract: Modern large language models (LLMs) increasingly depends on efficient long-context processing and g...
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🇺🇸 KEditVis: A Visual Analytics System for Knowledge Editing of Large Language Models
arXiv:2603.29689v1 Announce Type: cross Abstract: Large Language Models (LLMs) demonstrate exceptional capabilities in factual question answering, ye...
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🇺🇸 Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models
arXiv:2603.29661v1 Announce Type: cross Abstract: Existing narrative extraction methods face a trade-off between coherence, interactivity, and multi-...
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🇺🇸 Enhancing Structural Mapping with LLM-derived Abstractions for Analogical Reasoning in Narratives
arXiv:2603.29997v1 Announce Type: cross Abstract: Analogical reasoning is a key driver of human generalization in problem-solving and argumentation. ...
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🇺🇸 Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models
arXiv:2603.30022v1 Announce Type: cross Abstract: This paper introduces a new hybrid framework that combines Reinforcement Learning (RL) and Large La...
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🇺🇸 AI benchmarks are broken. Here’s what we need instead.
For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from ...
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🇺🇸 Training a Large Language Model for Medical Coding Using Privacy-Preserving Synthetic Clinical Data
arXiv:2603.23515v1 Announce Type: cross Abstract: Improving the accuracy and reliability of medical coding reduces clinician burnout and supports rev...
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🇺🇸 MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?
arXiv:2603.23519v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities across various specialist do...
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🇺🇸 Generating Hierarchical JSON Representations of Scientific Sentences Using LLMs
arXiv:2603.23532v1 Announce Type: cross Abstract: This paper investigates whether structured representations can preserve the meaning of scientific s...
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🇺🇸 LLMORPH: Automated Metamorphic Testing of Large Language Models
arXiv:2603.23611v1 Announce Type: cross Abstract: Automated testing is essential for evaluating and improving the reliability of Large Language Model...
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🇺🇸 Probing Ethical Framework Representations in Large Language Models: Structure, Entanglement, and Methodological Challenges
arXiv:2603.23659v1 Announce Type: cross Abstract: When large language models make ethical judgments, do their internal representations distinguish be...
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🇺🇸 PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay
arXiv:2603.23841v1 Announce Type: cross Abstract: While Large Language Models (LLMs) are increasingly used as primary sources of information, their p...
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🇺🇸 Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
arXiv:2603.23966v1 Announce Type: cross Abstract: With frequently evolving Advanced Persistent Threats (APTs) in cyberspace, traditional security sol...
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🇺🇸 When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools
arXiv:2603.24389v1 Announce Type: cross Abstract: High-quality teacher-child interaction (TCI) is fundamental to early childhood development, yet tra...
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🇺🇸 Are LLMs Smarter Than Chimpanzees? An Evaluation on Perspective Taking and Knowledge State Estimation
arXiv:2601.12410v2 Announce Type: replace Abstract: Cognitive anthropology suggests that the distinction of human intelligence lies in the ability to...
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🇺🇸 Evaluation of Large Language Models via Coupled Token Generation
arXiv:2502.01754v3 Announce Type: replace-cross Abstract: State of the art large language models rely on randomization to respond to a prompt. As an ...
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🇺🇸 A Theory of LLM Information Susceptibility
arXiv:2603.23626v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as optimization modules in agentic systems, ...
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🇺🇸 LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops
arXiv:2603.23613v1 Announce Type: cross Abstract: Large Language Models (LLMs) are showing remarkable performance in generating source code, yet the ...
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🇺🇸 Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
arXiv:2603.23800v1 Announce Type: cross Abstract: We present a novel LLM-informed model-based planning framework, and a novel prompt selection method...
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🇺🇸 From Guidelines to Guarantees: A Graph-Based Evaluation Harness for Domain-Specific Evaluation of LLMs
arXiv:2508.20810v2 Announce Type: replace Abstract: Rigorous evaluation of domain-specific language models requires benchmarks that are comprehensive...
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🇺🇸 A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective
arXiv:2211.14997v5 Announce Type: replace-cross Abstract: Enterprise financial risk analysis aims at predicting the future financial risk of enterpri...
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🇺🇸 Ran Score: a LLM-based Evaluation Score for Radiology Report Generation
arXiv:2603.22935v1 Announce Type: new Abstract: Chest X-ray report generation and automated evaluation are limited by poor recognition of low-prevale...
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🇺🇸 Between Rules and Reality: On the Context Sensitivity of LLM Moral Judgment
arXiv:2603.23114v1 Announce Type: new Abstract: A human's moral decision depends heavily on the context. Yet research on LLM morality has largely stu...
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🇺🇸 LLM Olympiad: Why Model Evaluation Needs a Sealed Exam
arXiv:2603.23292v1 Announce Type: new Abstract: Benchmarks and leaderboards are how NLP most often communicates progress, but in the LLM era they are...
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🇺🇸 Automated Microservice Pattern Instance Detection Using Infrastructure-as-Code Artifacts and Large Language Models
arXiv:2502.04188v1 Announce Type: cross Abstract: Documenting software architecture is essential to preserve architecture knowledge, even though it i...
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🇺🇸 TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs
arXiv:2603.22293v1 Announce Type: cross Abstract: Search-augmented large language models (LLMs) trained with reinforcement learning (RL) have achieve...
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🇺🇸 Latent Semantic Manifolds in Large Language Models
arXiv:2603.22301v1 Announce Type: cross Abstract: Large Language Models (LLMs) perform internal computations in continuous vector spaces yet produce ...
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🇺🇸 Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
arXiv:2603.22303v1 Announce Type: cross Abstract: Hallucinations in large language models (LLMs) remain a central obstacle to trustworthy deployment,...
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🇺🇸 DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
arXiv:2603.22324v1 Announce Type: cross Abstract: We introduce Delta-Aware Quantization (DAQ), a data-free post-training quantization framework that ...
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🇺🇸 Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
arXiv:2603.22446v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has significantly improved reasoning in large...
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🇺🇸 DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona
arXiv:2603.22765v1 Announce Type: cross Abstract: Data scarcity remains a persistent challenge in low-resource domains. While existing data augmentat...
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🇺🇸 Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
arXiv:2603.22966v1 Announce Type: cross Abstract: Large language models (LLMs) inherently operate over a large generation space, yet conventional usa...
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🇺🇸 Can an LLM Detect Instances of Microservice Infrastructure Patterns?
arXiv:2603.23073v1 Announce Type: cross Abstract: Architectural patterns are frequently found in various software artifacts. The wide variety of patt...
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🇺🇸 LLM-guided headline rewriting for clickability enhancement without clickbait
arXiv:2603.22459v1 Announce Type: cross Abstract: Enhancing reader engagement while preserving informational fidelity is a central challenge in contr...
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🇺🇸 Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook
arXiv:2603.23279v1 Announce Type: cross Abstract: The rapid diffusion of large language models and the growth in their capability has enabled the eme...
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🇺🇸 Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
arXiv:2603.23322v1 Announce Type: cross Abstract: Android's Earthquake Alert (AEA) system provided timely early warnings to millions during the Mw 6....
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🇺🇸 ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation
arXiv:2603.21140v1 Announce Type: new Abstract: Training large language models (LLMs) with synthetic reasoning data has become a popular approach to ...
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🇺🇸 A Framework for Low-Latency, LLM-driven Multimodal Interaction on the Pepper Robot
arXiv:2603.21013v1 Announce Type: new Abstract: Despite recent advances in integrating Large Language Models (LLMs) into social robotics, two weaknes...
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🇺🇸 Knowledge Boundary Discovery for Large Language Models
arXiv:2603.21022v1 Announce Type: new Abstract: We propose Knowledge Boundary Discovery (KBD), a reinforcement learning based framework to explore th...
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🇺🇸 Characterizing the ability of LLMs to recapitulate Americans' distributional responses to public opinion polling questions across political issues
arXiv:2603.20229v1 Announce Type: cross Abstract: Traditional survey-based political issue polling is becoming less tractable due to increasing costs...
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🇺🇸 ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation
arXiv:2603.20513v1 Announce Type: cross Abstract: LLM-reranking is limited by the top-k documents retrieved by vector similarity, which neither enabl...
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🇺🇸 Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language Models
arXiv:2603.21854v1 Announce Type: new Abstract: Do large language models reason morally, or do they merely sound like they do? We investigate whether...
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🇺🇸 Enhancing Safety of Large Language Models via Embedding Space Separation
arXiv:2603.20206v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved impressive capabilities, yet ensuring their safety again...
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🇺🇸 Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
arXiv:2603.20450v1 Announce Type: cross Abstract: A number of scientific conferences and journals have recently enacted policies that prohibit LLM us...
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🇺🇸 Evaluating Large Language Models on Historical Health Crisis Knowledge in Resource-Limited Settings: A Hybrid Multi-Metric Study
arXiv:2603.20514v1 Announce Type: cross Abstract: Large Language Models (LLMs) offer significant potential for delivering health information. However...
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🇺🇸 PAVE: Premise-Aware Validation and Editing for Retrieval-Augmented LLMs
arXiv:2603.20673v1 Announce Type: cross Abstract: Retrieval-augmented language models can retrieve relevant evidence yet still commit to answers befo...
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🇺🇸 LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain
arXiv:2603.20094v1 Announce Type: cross Abstract: Large manufacturing companies face challenges in information retrieval due to data silos maintained...
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🇺🇸 Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
arXiv:2603.20161v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse tasks. Howeve...
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🇺🇸 Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluation
arXiv:2603.20172v1 Announce Type: cross Abstract: Recent work on chain-of-thought (CoT) faithfulness reports single aggregate numbers (e.g., DeepSeek...
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🇺🇸 Memory-Driven Role-Playing: Evaluation and Enhancement of Persona Knowledge Utilization in LLMs
arXiv:2603.19313v1 Announce Type: cross Abstract: A core challenge for faithful LLM role-playing is sustaining consistent characterization throughout...
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🇺🇸 MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
arXiv:2603.19310v1 Announce Type: cross Abstract: Training large language models (LLMs) for complex reasoning via reinforcement learning requires rew...
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🇺🇸 Inducing Sustained Creativity and Diversity in Large Language Models
arXiv:2603.19519v1 Announce Type: cross Abstract: We address a not-widely-recognized subset of exploratory search, where a user sets out on a typical...
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🇺🇸 LISAA: A Framework for Large Language Model Information Security Awareness Assessment
arXiv:2411.13207v3 Announce Type: replace-cross Abstract: The popularity of large language models (LLMs) continues to grow, and LLM-based assistants ...
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🇺🇸 Can LLM generate interesting mathematical research problems?
arXiv:2603.18813v1 Announce Type: new Abstract: This paper is the second one in a series of work on the mathematical creativity of LLM. In the first ...
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🇺🇸 Secure Linear Alignment of Large Language Models
arXiv:2603.18908v1 Announce Type: new Abstract: Language models increasingly appear to learn similar representations, despite differences in training...
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🇺🇸 Do Large Language Models Possess a Theory of Mind? A Comparative Evaluation Using the Strange Stories Paradigm
arXiv:2603.18007v1 Announce Type: cross Abstract: The study explores whether current Large Language Models (LLMs) exhibit Theory of Mind (ToM) capabi...
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🇺🇸 Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
arXiv:2603.18334v1 Announce Type: cross Abstract: As Large Language Models (LLMs) increasingly assist secure software development, their ability to m...
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🇺🇸 PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
arXiv:2603.18363v1 Announce Type: cross Abstract: Unsupervised Reinforcement Learning from Internal Feedback (RLIF) has emerged as a promising paradi...
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🇺🇸 Measuring and Exploiting Confirmation Bias in LLM-Assisted Security Code Review
arXiv:2603.18740v1 Announce Type: cross Abstract: Security code reviews increasingly rely on systems integrating Large Language Models (LLMs), rangin...
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🇺🇸 Are complicated loss functions necessary for teaching LLMs to reason?
arXiv:2603.18756v1 Announce Type: cross Abstract: Recent advances in large language models (LLMs) highlight the importance of post training technique...
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🇺🇸 Lightweight Adaptation for LLM-based Technical Service Agent: Latent Logic Augmentation and Robust Noise Reduction
arXiv:2603.18074v1 Announce Type: cross Abstract: Adapting Large Language Models in complex technical service domains is constrained by the absence o...
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🇺🇸 VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models
arXiv:2603.18113v1 Announce Type: cross Abstract: As large language models (LLMs) increasingly shape content generation, interaction, and decision-ma...
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🇺🇸 AutORAN: LLM-driven Natural Language Programming for Agile xApp Development
arXiv:2603.18604v1 Announce Type: cross Abstract: Traditional RAN systems are closed and monolithic, stifling innovation. The openness and programmab...
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🇺🇸 Functional Subspace Watermarking for Large Language Models
arXiv:2603.18793v1 Announce Type: cross Abstract: Model watermarking utilizes internal representations to protect the ownership of large language mod...
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🇺🇸 Evaluating LLM-Generated Lessons from the Language Learning Students' Perspective: A Short Case Study on Duolingo
arXiv:2603.18873v1 Announce Type: cross Abstract: Popular language learning applications such as Duolingo use large language models (LLMs) to generat...
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🇺🇸 Security Assessment and Mitigation Strategies for Large Language Models: A Comprehensive Defensive Framework
arXiv:2603.17123v1 Announce Type: cross Abstract: Large Language Models increasingly power critical infrastructure from healthcare to finance, yet th...
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🇺🇸 Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
arXiv:2603.17174v1 Announce Type: cross Abstract: Code generation large language models (LLMs) are increasingly integrated into modern software devel...
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🇺🇸 Can Blindfolded LLMs Still Trade? An Anonymization-First Framework for Portfolio Optimization
arXiv:2603.17692v1 Announce Type: cross Abstract: For LLM trading agents to be genuinely trustworthy, they must demonstrate understanding of market d...
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🇺🇸 Facts as First Class Objects: Knowledge Objects for Persistent LLM Memory
arXiv:2603.17781v1 Announce Type: new Abstract: Large language models increasingly serve as persistent knowledge workers, with in-context memory - fa...
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🇺🇸 Evaluating Ill-Defined Tasks in Large Language Models
arXiv:2603.17067v1 Announce Type: cross Abstract: Many evaluations of Large Language Models (LLMs) target tasks that are inherently ill-defined, with...
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🇺🇸 Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual Inconsistency
arXiv:2603.17102v1 Announce Type: cross Abstract: Modern LLMs continue to exhibit significant variance in behavior across languages, such as being ab...
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🇺🇸 Anonymous-by-Construction: An LLM-Driven Framework for Privacy-Preserving Text
arXiv:2603.17217v1 Announce Type: cross Abstract: Responsible use of AI demands that we protect sensitive information without undermining the usefuln...
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🇺🇸 Deployment and Evaluation of an EHR-integrated, Large Language Model-Powered Tool to Triage Surgical Patients
arXiv:2603.17234v1 Announce Type: cross Abstract: Surgical co-management (SCM) is an evidence-based model in which hospitalists jointly manage medica...
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🇺🇸 How do LLMs Compute Verbal Confidence
arXiv:2603.17839v1 Announce Type: cross Abstract: Verbal confidence -- prompting LLMs to state their confidence as a number or category -- is widely ...
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🇺🇸 InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning
arXiv:2509.12263v2 Announce Type: replace Abstract: Large multimodal models (LMMs) encode physical laws observed during training, such as momentum co...
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🇺🇸 Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
arXiv:2603.16264v1 Announce Type: new Abstract: Theory of Mind (ToM) refers to the ability to reason about others' mental states, and higher-order To...
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🇺🇸 BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs
arXiv:2603.16557v1 Announce Type: new Abstract: Large language models (LLMs) increasingly store user preferences in persistent memory to support pers...
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🇺🇸 Designing for Disagreement: Front-End Guardrails for Assistance Allocation in LLM-Enabled Robots
arXiv:2603.16537v1 Announce Type: new Abstract: LLM-enabled robots prioritizing scarce assistance in social settings face pluralistic values and LLM ...
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🇺🇸 This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMs
arXiv:2603.15699v1 Announce Type: cross Abstract: The energy consumption of Large Language Models (LLMs) is raising growing concerns due to their adv...
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🇺🇸 Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
arXiv:2603.15939v1 Announce Type: cross Abstract: Applying machine learning to sensitive time-series data is often bottlenecked by the iteration loop...
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🇺🇸 Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based Explainability
arXiv:2603.16017v1 Announce Type: cross Abstract: Large language models (LLMs) increasingly participate in morally sensitive decision-making, yet how...
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🇺🇸 A Human-Centred Architecture for Large Language Models-Cognitive Assistants in Manufacturing within Quality Management Systems
arXiv:2603.16325v1 Announce Type: cross Abstract: Large Language Models-Cognitive Assistants (LLM-CAs) can enhance Quality Management Systems (QMS) i...
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🇺🇸 Detecting Sentiment Steering Attacks on RAG-enabled Large Language Models
arXiv:2603.16342v1 Announce Type: cross Abstract: The proliferation of large-scale IoT networks has been both a blessing and a curse. Not only has it...
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🇺🇸 Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
arXiv:2603.16817v1 Announce Type: new Abstract: Large language models (LLMs) frequently hallucinate, limiting their reliability in knowledge-intensiv...
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🇺🇸 Prompt Programming for Cultural Bias and Alignment of Large Language Models
arXiv:2603.16827v1 Announce Type: new Abstract: Culture shapes reasoning, values, prioritization, and strategic decision-making, yet large language m...
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🇺🇸 Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models
arXiv:2603.14646v1 Announce Type: new Abstract: Theory of Mind (ToM) is central to social cognition and human-AI interaction, and Large Language Mode...
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🇺🇸 Learning to Forget: Sleep-Inspired Memory Consolidation for Resolving Proactive Interference in Large Language Models
arXiv:2603.14517v1 Announce Type: new Abstract: Large language models (LLMs) suffer from proactive interference (PI): outdated information in the con...
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🇺🇸 OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence
arXiv:2603.14771v1 Announce Type: new Abstract: Large Language Model (LLM)-based Collective Intelligence (CI) presents a promising approach to overco...
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🇺🇸 BrainBench: Exposing the Commonsense Reasoning Gap in Large Language Models
arXiv:2603.14761v1 Announce Type: new Abstract: Large language models (LLMs) achieve impressive scores on standard benchmarks yet routinely fail ques...
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🇺🇸 GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation
arXiv:2603.14724v1 Announce Type: new Abstract: Game UI design requires consistent visual assets across rarity tiers yet remains a predominantly manu...
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🇺🇸 Why the Valuable Capabilities of LLMs Are Precisely the Unexplainable Ones
arXiv:2603.15238v1 Announce Type: new Abstract: This paper proposes and argues for a counterintuitive thesis: the truly valuable capabilities of larg...
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🇺🇸 GPrune-LLM: Generalization-Aware Structured Pruning for Large Language Models
arXiv:2603.13418v1 Announce Type: cross Abstract: Structured pruning is widely used to compress large language models (LLMs), yet its effectiveness d...
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🇺🇸 LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
arXiv:2603.13673v1 Announce Type: new Abstract: Accurate extraction of Alzheimer's Disease and Related Dementias (ADRD) phenotypes from electronic he...
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🇺🇸 Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
arXiv:2603.13985v1 Announce Type: new Abstract: Pre-trained Large Language Model (LLM) exhibits broad capabilities, yet, for specific tasks or domain...
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🇺🇸 Why Do LLM-based Web Agents Fail? A Hierarchical Planning Perspective
arXiv:2603.14248v1 Announce Type: new Abstract: Large language model (LLM) web agents are increasingly used for web navigation but remain far from hu...
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🇺🇸 Argumentation for Explainable and Globally Contestable Decision Support with LLMs
arXiv:2603.14643v1 Announce Type: new Abstract: Large language models (LLMs) exhibit strong general capabilities, but their deployment in high-stakes...
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🇺🇸 Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
arXiv:2603.12658v1 Announce Type: cross Abstract: Continual learning (CL) has emerged as a pivotal paradigm to enable large language models (LLMs) to...
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🇺🇸 OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
arXiv:2509.26495v3 Announce Type: replace Abstract: Large Language Model (LLM) safety is one of the most pressing challenges for enabling wide-scale ...
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🇺🇸 Do LLMs Share Human-Like Biases? Causal Reasoning Under Prior Knowledge, Irrelevant Context, and Varying Compute Budgets
arXiv:2602.02983v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used in domains where causal reasoning matters, yet...
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🇺🇸 Do LLMs have a Gender (Entropy) Bias?
arXiv:2505.20343v2 Announce Type: replace-cross Abstract: We investigate the existence and persistence of a specific type of gender bias in some of t...
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🇺🇸 Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
arXiv:2603.12271v1 Announce Type: cross Abstract: LLMs are widely used in knowledge-intensive tasks where the same fact may be revised multiple times...
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🇺🇸 TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?
arXiv:2603.12744v1 Announce Type: cross Abstract: Automated theorem proving (ATP) benchmarks largely consist of problems formalized in MathLib, so cu...
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🇺🇸 Human-Centered Evaluation of an LLM-Based Process Modeling Copilot: A Mixed-Methods Study with Domain Experts
arXiv:2603.12895v1 Announce Type: cross Abstract: Integrating Large Language Models (LLMs) into business process management tools promises to democra...
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🇺🇸 Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach
arXiv:2507.20796v2 Announce Type: replace-cross Abstract: As large language models (LLMs) increasingly act as autonomous agents in markets and organi...
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🇺🇸 LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms
arXiv:2603.11333v1 Announce Type: new Abstract: Short-video platforms are closed-loop, human-in-the-loop ecosystems where platform policy, creator in...
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🇺🇸 Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
arXiv:2603.12246v1 Announce Type: new Abstract: Reasoning LLMs-as-Judges, which can benefit from inference-time scaling, provide a promising path for...
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🇺🇸 From Entity-Centric to Goal-Oriented Graphs: Enhancing LLM Knowledge Retrieval in Minecraft
arXiv:2505.18607v2 Announce Type: replace Abstract: Large Language Models (LLMs) demonstrate impressive general capabilities but often struggle with ...
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🇺🇸 Exploring Collatz Dynamics with Human-LLM Collaboration
arXiv:2603.11066v1 Announce Type: cross Abstract: We investigate structural properties of the Collatz iteration through two phenomena observed in lar...
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🇺🇸 TopoBench: Benchmarking LLMs on Hard Topological Reasoning
arXiv:2603.12133v1 Announce Type: new Abstract: Solving topological grid puzzles requires reasoning over global spatial invariants such as connectivi...
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🇺🇸 OpenSanctions Pairs: Large-Scale Entity Matching with LLMs
arXiv:2603.11051v1 Announce Type: cross Abstract: We release OpenSanctions Pairs, a large-scale entity matching benchmark derived from real-world int...
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🇺🇸 AI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities
arXiv:2603.11279v1 Announce Type: new Abstract: The immense number of parameters and deep neural networks make large language models (LLMs) rival the...
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🇺🇸 WebWeaver: Breaking Topology Confidentiality in LLM Multi-Agent Systems with Stealthy Context-Based Inference
arXiv:2603.11132v1 Announce Type: cross Abstract: Communication topology is a critical factor in the utility and safety of LLM-based multi-agent syst...
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🇺🇸 Evaluation and LLM-Guided Learning of ICD Coding Rationales
arXiv:2508.16777v2 Announce Type: replace Abstract: ICD coding is the process of mapping unstructured text from Electronic Health Records (EHRs) to s...
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🇺🇸 Summarize Before You Speak with ARACH: A Training-Free Inference-Time Plug-In for Enhancing LLMs via Global Attention Reallocation
arXiv:2603.11067v1 Announce Type: cross Abstract: Large language models (LLMs) achieve remarkable performance, yet further gains often require costly...
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🇺🇸 RewardHackingAgents: Benchmarking Evaluation Integrity for LLM ML-Engineering Agents
arXiv:2603.11337v1 Announce Type: new Abstract: LLM agents increasingly perform end-to-end ML engineering tasks where success is judged by a single s...
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🇺🇸 Improving LLM Performance Through Black-Box Online Tuning: A Case for Adding System Specs to Factsheets for Trusted AI
arXiv:2603.11340v1 Announce Type: new Abstract: In this paper, we present a novel black-box online controller that uses only end-to-end measurements ...
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🇺🇸 AI Knows What's Wrong But Cannot Fix It: Helicoid Dynamics in Frontier LLMs Under High-Stakes Decisions
arXiv:2603.11559v1 Announce Type: new Abstract: Large language models perform reliably when their outputs can be checked: solving equations, writing ...
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🇺🇸 Markovian Generation Chains in Large Language Models
arXiv:2603.11228v1 Announce Type: cross Abstract: The widespread use of large language models (LLMs) raises an important question: how do texts evolv...
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🇺🇸 Jailbreak Scaling Laws for Large Language Models: Polynomial-Exponential Crossover
arXiv:2603.11331v1 Announce Type: cross Abstract: Adversarial attacks can reliably steer safety-aligned large language models toward unsafe behavior....
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🇺🇸 UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization
arXiv:2603.11583v1 Announce Type: cross Abstract: The success of a Large Language Model (LLM) task depends heavily on its prompt. Most use-cases spec...
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🇺🇸 MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?
arXiv:2603.11935v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated remarkable capabilities in code generation, yet thei...
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🇺🇸 BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs
arXiv:2603.11991v1 Announce Type: cross Abstract: Zero-shot text classification (ZSC) offers the promise of eliminating costly task-specific annotati...
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🇺🇸 Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
arXiv:2603.12091v1 Announce Type: cross Abstract: Neural Architecture Search (NAS) automates network design, but conventional methods demand substant...
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🇺🇸 LLMs can construct powerful representations and streamline sample-efficient supervised learning
arXiv:2603.11679v1 Announce Type: new Abstract: As real-world datasets become increasingly complex and heterogeneous, supervised learning is often bo...
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🇺🇸 IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL
arXiv:2603.12151v1 Announce Type: cross Abstract: While scaling laws guide compute allocation for LLM pre-training, analogous prescriptions for reinf...
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🇺🇸 DeliberationBench: A Normative Benchmark for the Influence of Large Language Models on Users' Views
arXiv:2603.10018v1 Announce Type: cross Abstract: As large language models (LLMs) become pervasive as assistants and thought partners, it is importan...
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🇺🇸 Amnesia: Adversarial Semantic Layer Specific Activation Steering in Large Language Models
arXiv:2603.10080v1 Announce Type: cross Abstract: Warning: This article includes red-teaming experiments, which contain examples of compromised LLM r...
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🇺🇸 Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
arXiv:2603.10098v1 Announce Type: cross Abstract: Recent advances in multi-agent reinforcement learning, particularly Policy-Space Response Oracles (...
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🇺🇸 Utility Function is All You Need: LLM-based Congestion Control
arXiv:2603.10357v1 Announce Type: cross Abstract: Congestion is a critical and challenging problem in communication networks. Congestion control prot...
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🇺🇸 Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services
arXiv:2603.10807v1 Announce Type: cross Abstract: The rapid adoption of large language models (LLMs) in financial services introduces new operational...
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🇺🇸 When Fine-Tuning Fails and when it Generalises: Role of Data Diversity and Mixed Training in LLM-based TTS
arXiv:2603.10904v1 Announce Type: cross Abstract: Large language models are increasingly adopted as semantic backbones for neural text-to-speech syst...
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🇺🇸 BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
arXiv:2510.00307v2 Announce Type: replace Abstract: Agents backed by large language models (LLMs) increasingly rely on external tools drawn from mark...
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🇺🇸 Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
arXiv:2603.10195v1 Announce Type: cross Abstract: Large Language Models frequently generate fluent but factually incorrect text. We propose Adaptive ...
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🇺🇸 DUCTILE: Agentic LLM Orchestration of Engineering Analysis in Product Development Practice
arXiv:2603.10249v1 Announce Type: cross Abstract: Engineering analysis automation in product development relies on rigid interfaces between tools, da...
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🇺🇸 RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs
arXiv:2509.25426v3 Announce Type: replace Abstract: Reasoning language models have demonstrated remarkable performance on many challenging tasks in m...
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🇺🇸 EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages
arXiv:2603.09678v1 Announce Type: new Abstract: Large language models achieve near-ceiling performance on code generation benchmarks, yet these resul...
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🇺🇸 Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts
arXiv:2603.09890v1 Announce Type: new Abstract: Large Language Models (LLMs) have emerged as a new paradigm for multi-agent systems. However, existin...
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🇺🇸 DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization
arXiv:2603.09180v1 Announce Type: cross Abstract: Spoken dialog systems with cascaded ASR-LLM-TTS modules retain strong LLM intelligence, but VAD seg...
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🇺🇸 Beyond Scaling: Assessing Strategic Reasoning and Rapid Decision-Making Capability of LLMs in Zero-sum Environments
arXiv:2603.09337v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved strong performance on static reasoning benchmarks, yet t...
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🇺🇸 Emotion is Not Just a Label: Latent Emotional Factors in LLM Processing
arXiv:2603.09205v1 Announce Type: cross Abstract: Large language models are routinely deployed on text that varies widely in emotional tone, yet thei...
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🇺🇸 Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
arXiv:2603.09416v1 Announce Type: cross Abstract: Large Language Models (LLMs) excel in Natural Language Processing (NLP) tasks, but they often propa...
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🇺🇸 Alignment Is the Disease: Censorship Visibility and Alignment Constraint Complexity as Determinants of Collective Pathology in Multi-Agent LLM Systems
arXiv:2603.08723v1 Announce Type: cross Abstract: Alignment techniques in large language models (LLMs) are designed to constrain model outputs toward...
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🇺🇸 Large Language Model-Assisted Superconducting Qubit Experiments
arXiv:2603.08801v1 Announce Type: cross Abstract: Superconducting circuits have demonstrated significant potential in quantum information processing ...
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🇺🇸 Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People
arXiv:2603.09964v1 Announce Type: cross Abstract: As social virtual reality (VR) grows more popular, addressing accessibility for blind and low visio...
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🇺🇸 Improving instruction hierarchy in frontier LLMs
IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injectio...
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🇺🇸 FinSheet-Bench: From Simple Lookups to Complex Reasoning, Where LLMs Break on Financial Spreadsheets
arXiv:2603.07316v1 Announce Type: new Abstract: While Large Language Models (LLMs) can accelerate text-heavy tasks in alternative investment due dili...
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🇺🇸 In-Context Reinforcement Learning for Tool Use in Large Language Models
arXiv:2603.08068v1 Announce Type: new Abstract: While large language models (LLMs) exhibit strong reasoning abilities, their performance on complex t...
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🇺🇸 Consensus is Not Verification: Why Crowd Wisdom Strategies Fail for LLM Truthfulness
arXiv:2603.06612v1 Announce Type: cross Abstract: Pass@k and other methods of scaling inference compute can improve language model performance in dom...
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🇺🇸 RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
arXiv:2603.06616v1 Announce Type: cross Abstract: Efficiently routing queries to the optimal large language model (LLM) is crucial for optimizing the...
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🇺🇸 A Novel Multi-Agent Architecture to Reduce Hallucinations of Large Language Models in Multi-Step Structural Modeling
arXiv:2603.07728v1 Announce Type: new Abstract: Large language models (LLMs) such as GPT and Gemini have demonstrated remarkable capabilities in cont...
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🇺🇸 Rigidity in LLM Bandits with Implications for Human-AI Dyads
arXiv:2603.07717v1 Announce Type: new Abstract: We test whether LLMs show robust decision biases. Treating models as participants in two-arm bandits,...
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🇺🇸 Grounding Machine Creativity in Game Design Knowledge Representations: Empirical Probing of LLM-Based Executable Synthesis of Goal Playable Patterns under Structural Constraints
arXiv:2603.07101v1 Announce Type: new Abstract: Creatively translating complex gameplay ideas into executable artifacts (e.g., games as Unity project...
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🇺🇸 Evaluating Financial Intelligence in Large Language Models: Benchmarking SuperInvesting AI with LLM Engines
arXiv:2603.08704v1 Announce Type: new Abstract: Large language models are increasingly used for financial analysis and investment research, yet syste...
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🇺🇸 SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts
arXiv:2603.06636v1 Announce Type: cross Abstract: Due to the strong context-awareness capabilities demonstrated by large language models (LLMs), rece...
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🇺🇸 Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
arXiv:2603.06745v1 Announce Type: cross Abstract: Large Language Models (LLMs), despite advances in instruction tuning, often fail to follow complex ...
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🇺🇸 Not Too Short, Not Too Long: How LLM Response Length Shapes People's Critical Thinking in Error Detection
arXiv:2603.06878v1 Announce Type: new Abstract: Large language models (LLMs) have become common decision-support tools across educational and profess...
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🇺🇸 $\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving
arXiv:2603.07197v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has shown promise in enhancing the reasoning pe...
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🇺🇸 Large Language Model for Discrete Optimization Problems: Evaluation and Step-by-step Reasoning
arXiv:2603.07733v1 Announce Type: new Abstract: This work investigated the capabilities of different models, including the Llama-3 series of models a...
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🇺🇸 Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs
arXiv:2603.07970v1 Announce Type: new Abstract: With the rapid advancement of human science and technology, problems in industrial scenarios are beco...
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🇺🇸 HEARTS: Benchmarking LLM Reasoning on Health Time Series
arXiv:2603.06638v1 Announce Type: cross Abstract: The rise of large language models (LLMs) has shifted time series analysis from narrow analytics to ...
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🇺🇸 Performance Comparison of IBN orchestration using LLM and SLMs
arXiv:2603.06647v1 Announce Type: cross Abstract: The evolution of both 5G and 6G networks is driving the advancement of fully autonomous network man...
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🇺🇸 Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers
arXiv:2603.06862v1 Announce Type: cross Abstract: Artifact Evaluation (AE) is essential for ensuring the transparency and reliability of research, cl...
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🇺🇸 Knowing without Acting: The Disentangled Geometry of Safety Mechanisms in Large Language Models
arXiv:2603.05773v1 Announce Type: cross Abstract: Safety alignment is often conceptualized as a monolithic process wherein harmfulness detection auto...
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🇺🇸 Ambiguity Collapse by LLMs: A Taxonomy of Epistemic Risks
arXiv:2603.05801v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to make sense of ambiguous, open-textured, value...
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🇺🇸 Abductive Reasoning with Syllogistic Forms in Large Language Models
arXiv:2603.06428v1 Announce Type: cross Abstract: Research in AI using Large-Language Models (LLMs) is rapidly evolving, and the comparison of their ...
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🇺🇸 Agentic LLM Planning via Step-Wise PDDL Simulation: An Empirical Characterisation
arXiv:2603.06064v1 Announce Type: new Abstract: Task planning, the problem of sequencing actions to reach a goal from an initial state, is a core cap...
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🇺🇸 Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
arXiv:2603.05953v1 Announce Type: cross Abstract: Mental health is not a fixed trait but a dynamic process shaped by the interplay between individual...
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🇺🇸 MoEless: Efficient MoE LLM Serving via Serverless Computing
arXiv:2603.06350v1 Announce Type: cross Abstract: Large Language Models (LLMs) have become a cornerstone of AI, driving progress across diverse domai...
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🇺🇸 Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions
arXiv:2603.06330v1 Announce Type: cross Abstract: Behaviour Change Techniques (BCTs) are central to digital health interventions, yet selecting and d...
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🇺🇸 CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
arXiv:2603.06183v1 Announce Type: cross Abstract: We introduce CRIMSON, a clinically grounded evaluation framework for chest X-ray report generation ...
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🇺🇸 PVminerLLM: Structured Extraction of Patient Voice from Patient-Generated Text using Large Language Models
arXiv:2603.05776v1 Announce Type: cross Abstract: Motivation: Patient-generated text contains critical information about patients' lived experiences,...
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🇺🇸 Can LLM Aid in Solving Constraints with Inductive Definitions?
arXiv:2603.03668v1 Announce Type: cross Abstract: Solving constraints involving inductive (aka recursive) definitions is challenging. State-of-the-ar...
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🇺🇸 Lost in Stories: Consistency Bugs in Long Story Generation by LLMs
arXiv:2603.05890v1 Announce Type: cross Abstract: What happens when a storyteller forgets its own story? Large Language Models (LLMs) can now generat...
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🇺🇸 LUMINA: LLM-Guided GPU Architecture Exploration via Bottleneck Analysis
arXiv:2603.05904v1 Announce Type: cross Abstract: GPU design space exploration (DSE) for modern AI workloads, such as Large-Language Model (LLM) infe...
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🇺🇸 MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
arXiv:2603.06007v1 Announce Type: cross Abstract: Large language model-based (LLM-based) multi-agent systems (MAS) are increasingly used to extend ag...
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🇺🇸 COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics
arXiv:2603.06495v1 Announce Type: cross Abstract: Activation steering methods enable inference-time control of large language model (LLM) behavior wi...
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🇺🇸 VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs
arXiv:2506.06727v4 Announce Type: replace Abstract: Large Multimodal Models have achieved remarkable progress in integrating vision and language, ena...
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🇺🇸 Transforming Agency. On the mode of existence of Large Language Models
arXiv:2407.10735v3 Announce Type: replace Abstract: This paper investigates the ontological characterization of Large Language Models (LLMs) like Cha...
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🇺🇸 Localizing and Correcting Errors for LLM-based Planners
arXiv:2602.00276v2 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated strong reasoning capabilities on math and coding, ...
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🇺🇸 Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
arXiv:2502.05151v3 Announce Type: replace-cross Abstract: With the advent of large multimodal language models, science is now at a threshold of an AI...
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🇺🇸 Evaluating Austrian A-Level German Essays with Large Language Models for Automated Essay Scoring
arXiv:2603.06066v1 Announce Type: cross Abstract: Automated Essay Scoring (AES) has been explored for decades with the goal to support teachers by re...
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🇺🇸 Experiences Build Characters: The Linguistic Origins and Functional Impact of LLM Personality
arXiv:2603.06088v1 Announce Type: cross Abstract: Human problem-solving is enriched by a diversity of styles and personality traits, yet the developm...
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🇺🇸 Algorithmic Collusion by Large Language Models
arXiv:2404.00806v5 Announce Type: replace-cross Abstract: We conduct experiments with algorithmic pricing agents based on Large Language Models (LLMs...
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🇺🇸 From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting
arXiv:2504.08818v2 Announce Type: replace-cross Abstract: Using pre-trained large language models (LLMs) as a backbone for time series prediction has...
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🇺🇸 When Agents Persuade: Propaganda Generation and Mitigation in LLMs
arXiv:2603.04636v1 Announce Type: new Abstract: Despite their wide-ranging benefits, LLM-based agents deployed in open environments can be exploited ...
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🇺🇸 Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models
arXiv:2603.04837v1 Announce Type: new Abstract: We introduce the Dynamic Behavioral Constraint (DBC) benchmark, the first empirical framework for eva...
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🇺🇸 LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks
arXiv:2603.04818v1 Announce Type: new Abstract: Port congestion at major maritime hubs disrupts global supply chains, yet existing prediction systems...
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🇺🇸 Alignment Backfire: Language-Dependent Reversal of Safety Interventions Across 16 Languages in LLM Multi-Agent Systems
arXiv:2603.04904v1 Announce Type: new Abstract: In perpetrator treatment, a recurring observation is the dissociation between insight and action: off...
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🇺🇸 Survive at All Costs: Exploring LLM's Risky Behaviors under Survival Pressure
arXiv:2603.05028v1 Announce Type: new Abstract: As Large Language Models (LLMs) evolve from chatbots to agentic assistants, they are increasingly obs...
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🇺🇸 X-RAY: Mapping LLM Reasoning Capability via Formalized and Calibrated Probes
arXiv:2603.05290v1 Announce Type: new Abstract: Large language models (LLMs) achieve promising performance, yet their ability to reason remains poorl...
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🇺🇸 Legal interpretation and AI: from expert systems to argumentation and LLMs
arXiv:2603.05392v1 Announce Type: new Abstract: AI and Law research has encountered legal interpretation in different ways, in the context of its evo...
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🇺🇸 Detection of Illicit Content on Online Marketplaces using Large Language Models
arXiv:2603.04707v1 Announce Type: cross Abstract: Online marketplaces, while revolutionizing global commerce, have inadvertently facilitated the prol...
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🇺🇸 BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
arXiv:2603.04918v1 Announce Type: cross Abstract: Proximal constraints are fundamental to the stability of the Large Language Model reinforcement lea...
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🇺🇸 What Is Missing: Interpretable Ratings for Large Language Model Outputs
arXiv:2603.04429v1 Announce Type: cross Abstract: Current Large Language Model (LLM) preference learning methods such as Proximal Policy Optimization...
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🇺🇸 A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science
arXiv:2603.04452v1 Announce Type: cross Abstract: To advance foundation Large Language Models (LLMs) for combustion science, this study presents the ...
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🇺🇸 Large Language Models as Bidding Agents in Repeated HetNet Auction
arXiv:2603.04455v1 Announce Type: cross Abstract: This paper investigates the integration of large language models (LLMs) as reasoning agents in repe...
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🇺🇸 From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
arXiv:2603.04474v1 Announce Type: cross Abstract: Large Language Model-based Multi-Agent Systems (LLM-MAS) are increasingly applied to complex collab...
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🇺🇸 Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement
arXiv:2603.04698v1 Announce Type: cross Abstract: This paper evaluates data augmentation and feature enhancement techniques for hate speech detection...
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🇺🇸 When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger
arXiv:2603.04968v1 Announce Type: cross Abstract: Preference alignment is an essential step in adapting large language models (LLMs) to human values,...
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🇺🇸 Yann LeCun’s new venture is a contrarian bet against large language models
Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the indus...
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🇺🇸 “Dr. Google” had its issues. Can ChatGPT Health do better?
For the past two decades, there’s been a clear first step for anyone who starts experiencing new medical symptoms: Look them up online. The practice w...
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🇺🇸 Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
arXiv:2603.00267v1 Announce Type: new Abstract: Misinformation spreading over the Internet poses a significant threat to both societies and individua...
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🇺🇸 An Agentic LLM Framework for Adverse Media Screening in AML Compliance
arXiv:2602.23373v1 Announce Type: new Abstract: Adverse media screening is a critical component of anti-money laundering (AML) and know-your-customer...
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🇺🇸 Transformers converge to invariant algorithmic cores
arXiv:2602.22600v1 Announce Type: cross Abstract: Large language models exhibit sophisticated capabilities, yet understanding how they work internall...
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🇺🇸 Ruyi2 Technical Report
arXiv:2602.22543v1 Announce Type: cross Abstract: Large Language Models (LLMs) face significant challenges regarding deployment costs and latency, ne...
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🇺🇸 Generative Agents Navigating Digital Libraries
arXiv:2602.22529v1 Announce Type: cross Abstract: In the rapidly evolving field of digital libraries, the development of large language models (LLMs)...
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🇺🇸 Reinforcement-aware Knowledge Distillation for LLM Reasoning
arXiv:2602.22495v1 Announce Type: cross Abstract: Reinforcement learning (RL) post-training has recently driven major gains in long chain-of-thought ...
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🇺🇸 Sydney Telling Fables on AI and Humans: A Corpus Tracing Memetic Transfer of Persona between LLMs
arXiv:2602.22481v1 Announce Type: cross Abstract: The way LLM-based entities conceive of the relationship between AI and humans is an important topic...
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🇺🇸 Automating the Detection of Requirement Dependencies Using Large Language Models
arXiv:2602.22456v1 Announce Type: cross Abstract: Requirements are inherently interconnected through various types of dependencies. Identifying these...
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🇺🇸 Contextual Memory Virtualisation: DAG-Based State Management and Structurally Lossless Trimming for LLM Agents
arXiv:2602.22402v1 Announce Type: cross Abstract: As large language models engage in extended reasoning tasks, they accumulate significant state -- a...
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🇺🇸 Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts
arXiv:2602.22359v1 Announce Type: cross Abstract: This paper tests whether large language models (LLMs) can support interpretative citation context a...
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🇺🇸 Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory
arXiv:2602.22345v1 Announce Type: cross Abstract: This thesis addresses two persistent and closely related challenges in modern deep learning, reliab...
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🇺🇸 UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
arXiv:2602.22296v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning abilities of large...
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🇺🇸 Manifold of Failure: Behavioral Attraction Basins in Language Models
arXiv:2602.22291v1 Announce Type: cross Abstract: While prior work has focused on projecting adversarial examples back onto the manifold of natural d...
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🇺🇸 Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
arXiv:2602.22280v1 Announce Type: cross Abstract: Cardiovascular disease is the primary cause of death globally, necessitating early identification, ...
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🇺🇸 Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
arXiv:2602.22242v1 Announce Type: cross Abstract: Large Language Models (LLMs) are widely deployed in real-world systems. Given their broader applica...
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🇺🇸 From Prompts to Performance: Evaluating LLMs for Task-based Parallel Code Generation
arXiv:2602.22240v1 Announce Type: cross Abstract: Large Language Models (LLM) show strong abilities in code generation, but their skill in creating e...
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🇺🇸 Misinformation Exposure in the Chinese Web: A Cross-System Evaluation of Search Engines, LLMs, and AI Overviews
arXiv:2602.22221v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly integrated into search services, providing direct ans...
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🇺🇸 Comparative Analysis of Neural Retriever-Reranker Pipelines for Retrieval-Augmented Generation over Knowledge Graphs in E-commerce Applications
arXiv:2602.22219v1 Announce Type: cross Abstract: Recent advancements in Large Language Models (LLMs) have transformed Natural Language Processing (N...
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🇺🇸 Enriching Taxonomies Using Large Language Models
arXiv:2602.22213v1 Announce Type: cross Abstract: Taxonomies play a vital role in structuring and categorizing information across domains. However, m...
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🇺🇸 Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences
arXiv:2602.21585v1 Announce Type: cross Abstract: Many applications seek to optimize LLM outputs at test time by iteratively proposing, scoring, and ...
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🇺🇸 Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks
arXiv:2602.23330v1 Announce Type: new Abstract: The advancement of large language models (LLMs) has accelerated the development of autonomous financi...
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🇺🇸 LLM Novice Uplift on Dual-Use, In Silico Biology Tasks
arXiv:2602.23329v1 Announce Type: new Abstract: Large language models (LLMs) perform increasingly well on biology benchmarks, but it remains unclear ...
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🇺🇸 Mitigating Legibility Tax with Decoupled Prover-Verifier Games
arXiv:2602.23248v1 Announce Type: new Abstract: As large language models become increasingly capable, it is critical that their outputs can be easily...
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🇺🇸 SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation
arXiv:2602.23199v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly applied in scientific research, offering new capabiliti...
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🇺🇸 A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring
arXiv:2602.23163v1 Announce Type: new Abstract: Large language models are beginning to show steganographic capabilities. Such capabilities could allo...
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🇺🇸 Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design
arXiv:2602.23092v1 Announce Type: new Abstract: The Capacitated Vehicle Routing Problem (CVRP), a fundamental combinatorial optimization challenge, f...
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🇺🇸 Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search
arXiv:2602.22983v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly used, their security risks have drawn increasing att...
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🇺🇸 SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy
arXiv:2602.22971v1 Announce Type: new Abstract: As LLMs achieved breakthroughs in general reasoning, their proficiency in specialized scientific doma...
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🇺🇸 General Agent Evaluation
arXiv:2602.22953v1 Announce Type: new Abstract: The promise of general-purpose agents - systems that perform tasks in unfamiliar environments without...
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🇺🇸 Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
arXiv:2602.22879v1 Announce Type: new Abstract: Knowledge Tracing (KT) diagnoses students' concept mastery through continuous learning state monitori...
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🇺🇸 MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks
arXiv:2602.22808v1 Announce Type: new Abstract: Despite the remarkable progress of large language models (LLMs), the capabilities of standalone LLMs ...
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🇺🇸 ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
arXiv:2602.22771v1 Announce Type: new Abstract: Clinical decisions are often required under incomplete information. Clinical experts must identify wh...
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🇺🇸 AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
arXiv:2602.22769v1 Announce Type: new Abstract: Large Language Models (LLMs) are deployed as autonomous agents in increasingly complex applications, ...
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🇺🇸 RLHFless: Serverless Computing for Efficient RLHF
arXiv:2602.22718v1 Announce Type: new Abstract: Reinforcement Learning from Human Feedback (RLHF) has been widely applied to Large Language Model (LL...
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🇺🇸 MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios
arXiv:2602.22638v1 Announce Type: new Abstract: Route-planning agents powered by large language models (LLMs) have emerged as a promising paradigm fo...
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🇺🇸 SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Reasoning
arXiv:2602.22603v1 Announce Type: new Abstract: Long-running agentic tasks, such as deep research, require multi-hop reasoning over information distr...
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🇺🇸 Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective Guidance
arXiv:2602.22583v1 Announce Type: new Abstract: Example-based guidance is widely used to improve mathematical reasoning at inference time, yet its ef...
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🇺🇸 CourtGuard: A Model-Agnostic Framework for Zero-Shot Policy Adaptation in LLM Safety
arXiv:2602.22557v1 Announce Type: new Abstract: Current safety mechanisms for Large Language Models (LLMs) rely heavily on static, fine-tuned classif...
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🇺🇸 Agentic AI for Intent-driven Optimization in Cell-free O-RAN
arXiv:2602.22539v1 Announce Type: new Abstract: Agentic artificial intelligence (AI) is emerging as a key enabler for autonomous radio access network...
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🇺🇸 Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
arXiv:2602.22523v1 Announce Type: new Abstract: While contemporary large language models (LLMs) are increasingly capable in isolation, there are stil...
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🇺🇸 Mapping the Landscape of Artificial Intelligence in Life Cycle Assessment Using Large Language Models
arXiv:2602.22500v1 Announce Type: new Abstract: Integration of artificial intelligence (AI) into life cycle assessment (LCA) has accelerated in recen...
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🇺🇸 ConstraintBench: Benchmarking LLM Constraint Reasoning on Direct Optimization
arXiv:2602.22465v1 Announce Type: new Abstract: Large language models are increasingly applied to operational decision-making where the underlying st...
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🇺🇸 A Framework for Assessing AI Agent Decisions and Outcomes in AutoML Pipelines
arXiv:2602.22442v1 Announce Type: new Abstract: Agent-based AutoML systems rely on large language models to make complex, multi-stage decisions acros...
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🇺🇸 FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation
arXiv:2602.22273v1 Announce Type: new Abstract: We introduce FIRE, a comprehensive benchmark designed to evaluate both the theoretical financial know...
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🇺🇸 Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
arXiv:2602.22215v1 Announce Type: new Abstract: Large Language Models (LLMs) demonstrate potential in the field of scientific idea generation. Howeve...
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🇺🇸 LLMs Process Lists With General Filter Heads
arXiv:2510.26784v2 Announce Type: replace Abstract: We investigate the mechanisms underlying a range of list-processing tasks in LLMs, and we find th...
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🇺🇸 Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA
arXiv:2602.20492v1 Announce Type: cross Abstract: Decentralized federated learning (DFL) based on low-rank adaptation (LoRA) enables mobile devices w...
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🇺🇸 What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance
arXiv:2602.20300v1 Announce Type: cross Abstract: Large Language Model (LLM) hallucinations are usually treated as defects of the model or its decodi...
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🇺🇸 Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study
arXiv:2602.20202v1 Announce Type: cross Abstract: The growing reliance on AI-identified digital evidence raises significant concerns about its reliab...
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🇺🇸 Closing the Expertise Gap in Residential Building Energy Retrofits: A Domain-Specific LLM for Informed Decision-Making
arXiv:2602.20181v1 Announce Type: cross Abstract: Residential energy retrofit decision-making is constrained by an expertise gap, as homeowners lack ...
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🇺🇸 Tool Building as a Path to "Superintelligence"
arXiv:2602.21061v1 Announce Type: new Abstract: The Diligent Learner framework suggests LLMs can achieve superintelligence via test-time search, prov...
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🇺🇸 Physics-based phenomenological characterization of cross-modal bias in multimodal models
arXiv:2602.20624v1 Announce Type: new Abstract: The term 'algorithmic fairness' is used to evaluate whether AI models operate fairly in both comparat...
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🇺🇸 A Problem-Oriented Perspective and Anchor Verification for Code Optimization
arXiv:2406.11935v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown remarkable capabilities in solving various programm...
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🇺🇸 From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars?
arXiv:2512.03005v4 Announce Type: replace Abstract: The rapid advancement of large language models (LLMs) has opened new possibilities for AI for goo...
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🇺🇸 "Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation
arXiv:2506.04500v2 Announce Type: replace Abstract: Recent advancements in large language models (LLMs) have spurred interest in robotic navigation t...
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🇺🇸 Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-training
arXiv:2602.21189v1 Announce Type: cross Abstract: Pass@k is a widely used performance metric for verifiable large language model tasks, including mat...
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🇺🇸 CAMEL: Confidence-Gated Reflection for Reward Modeling
arXiv:2602.20670v1 Announce Type: cross Abstract: Reward models play a fundamental role in aligning large language models with human preferences. Exi...
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🇺🇸 CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
arXiv:2602.20213v1 Announce Type: cross Abstract: The evaluation of Large Language Models (LLMs) for code generation relies heavily on the quality an...
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🇺🇸 MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Elastic LLMs
arXiv:2602.20191v1 Announce Type: cross Abstract: Changing runtime complexity on cloud and edge devices necessitates elastic large language model (LL...
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🇺🇸 Talking to Yourself: Defying Forgetting in Large Language Models
arXiv:2602.20162v1 Announce Type: cross Abstract: Catastrophic forgetting remains a major challenge when fine-tuning large language models (LLMs) on ...
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🇺🇸 Architecting AgentOS: From Token-Level Context to Emergent System-Level Intelligence
arXiv:2602.20934v1 Announce Type: new Abstract: The paradigm of Large Language Models is undergoing a fundamental transition from static inference en...
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🇺🇸 Buffer Matters: Unleashing the Power of Off-Policy Reinforcement Learning in Large Language Model Reasoning
arXiv:2602.20722v1 Announce Type: new Abstract: Traditional on-policy Reinforcement Learning with Verifiable Rewards (RLVR) frameworks suffer from ex...
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🇺🇸 PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding
arXiv:2602.20696v1 Announce Type: new Abstract: Reliable AI systems require large language models (LLMs) to exhibit behaviors aligned with human pref...
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🇺🇸 From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production
arXiv:2602.20558v1 Announce Type: new Abstract: Large language models (LLMs) are promising backbones for generative recommender systems, yet a key ch...
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🇺🇸 DMCD: Semantic-Statistical Framework for Causal Discovery
arXiv:2602.20333v1 Announce Type: new Abstract: We present DMCD (DataMap Causal Discovery), a two-phase causal discovery framework that integrates LL...
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🇺🇸 Diffusion Generative Recommendation with Continuous Tokens
arXiv:2504.12007v5 Announce Type: replace-cross Abstract: Recent advances in generative artificial intelligence, particularly large language models (...
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🇺🇸 DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
arXiv:2509.21825v4 Announce Type: replace Abstract: While large language models (LLMs) have shown promise in automating data science, existing agents...
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🇺🇸 Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs
arXiv:2506.18777v2 Announce Type: replace Abstract: Large language models (LLMs) are typically trained to acquire behaviours from demonstrations or e...
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🇺🇸 Sensory-Motor Control with Large Language Models via Iterative Policy Refinement
arXiv:2506.04867v4 Announce Type: replace Abstract: We propose a method that enables large language models (LLMs) to control embodied agents through ...
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🇺🇸 A Survey on the Optimization of Large Language Model-based Agents
arXiv:2503.12434v2 Announce Type: replace Abstract: With the rapid development of Large Language Models (LLMs), LLM-based agents have been widely ado...
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🇺🇸 The Art of Efficient Reasoning: Data, Reward, and Optimization
arXiv:2602.20945v1 Announce Type: cross Abstract: Large Language Models (LLMs) consistently benefit from scaled Chain-of-Thought (CoT) reasoning, but...
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🇺🇸 Hybrid LLM-Embedded Dialogue Agents for Learner Reflection: Designing Responsive and Theory-Driven Interactions
arXiv:2602.20486v1 Announce Type: cross Abstract: Dialogue systems have long supported learner reflections, with theoretically grounded, rule-based d...
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🇺🇸 No One Size Fits All: QueryBandits for Hallucination Mitigation
arXiv:2602.20332v1 Announce Type: cross Abstract: Advanced reasoning capabilities in Large Language Models (LLMs) have led to more frequent hallucina...
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🇺🇸 InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation
arXiv:2602.20294v1 Announce Type: cross Abstract: Simulating real personalities with large language models requires grounding generation in authentic...
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🇺🇸 Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis
arXiv:2602.20207v1 Announce Type: cross Abstract: Knowledge editing in Large Language Models (LLMs) aims to update the model's prediction for a speci...
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🇺🇸 A Benchmark for Deep Information Synthesis
arXiv:2602.21143v1 Announce Type: new Abstract: Large language model (LLM)-based agents are increasingly used to solve complex tasks involving tool u...
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🇺🇸 LogicGraph : Benchmarking Multi-Path Logical Reasoning via Neuro-Symbolic Generation and Verification
arXiv:2602.21044v1 Announce Type: new Abstract: Evaluations of large language models (LLMs) primarily emphasize convergent logical reasoning, where s...
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🇺🇸 HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG
arXiv:2602.20926v1 Announce Type: new Abstract: Large Language Models (LLMs) often struggle with inherent knowledge boundaries and hallucinations, li...
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🇺🇸 Qwen-BIM: developing large language model for BIM-based design with domain-specific benchmark and dataset
arXiv:2602.20812v1 Announce Type: new Abstract: As the construction industry advances toward digital transformation, BIM (Building Information Modeli...
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🇺🇸 Counterfactual Simulation Training for Chain-of-Thought Faithfulness
arXiv:2602.20710v1 Announce Type: new Abstract: Inspecting Chain-of-Thought reasoning is among the most common means of understanding why an LLM prod...
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🇺🇸 Grounding LLMs in Scientific Discovery via Embodied Actions
arXiv:2602.20639v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown significant potential in scientific discovery but struggle to...
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🇺🇸 An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
arXiv:2602.20324v1 Announce Type: new Abstract: Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes fr...
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🇺🇸 SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery
arXiv:2602.21136v1 Announce Type: cross Abstract: Qualitative insights from user experiences are critical for informing product and policy decisions,...
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🇺🇸 El Agente Gr\'afico: Structured Execution Graphs for Scientific Agents
arXiv:2602.17902v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to automate scientific workflows, yet their integr...
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🇺🇸 The Token Games: Evaluating Language Model Reasoning with Puzzle Duels
arXiv:2602.17831v1 Announce Type: new Abstract: Evaluating the reasoning capabilities of Large Language Models is increasingly challenging as models ...
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🇺🇸 Retrieval Augmented (Knowledge Graph), and Large Language Model-Driven Design Structure Matrix (DSM) Generation of Cyber-Physical Systems
arXiv:2602.16715v1 Announce Type: new Abstract: We explore the potential of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and G...
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🇺🇸 OpenAI’s latest product lets you vibe code science
OpenAI just revealed what its new in-house team, OpenAI for Science, has been up to. The firm has released a free LLM-powered tool for scientists call...
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🇺🇸 Advancing science and math with GPT-5.2
GPT-5.2 is OpenAI’s strongest model yet for math and science, setting new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath. T...
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🇺🇸 GISA: A Benchmark for General Information-Seeking Assistant
arXiv:2602.08543v2 Announce Type: replace-cross Abstract: The advancement of large language models (LLMs) has significantly accelerated the developme...
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🇺🇸 Provable Training Data Identification for Large Language Models
arXiv:2510.09717v2 Announce Type: replace-cross Abstract: Identifying training data of large-scale models is critical for copyright litigation, priva...
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🇺🇸 Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation
arXiv:2602.07298v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) represent a promising frontier for recommender systems, yet th...
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🇺🇸 Exploring AI-Augmented Sensemaking of Patient-Generated Health Data: A Mixed-Method Study with Healthcare Professionals in Cardiac Risk Reduction
arXiv:2602.05687v4 Announce Type: replace-cross Abstract: Individuals are increasingly generating substantial personal health and lifestyle data, e.g...
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🇺🇸 Beyond Static Question Banks: Dynamic Knowledge Expansion via LLM-Automated Graph Construction and Adaptive Generation
arXiv:2602.00020v2 Announce Type: replace-cross Abstract: Personalized education systems increasingly rely on structured knowledge representations to...
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🇺🇸 ATLAS : Adaptive Self-Evolutionary Research Agent with Task-Distributed Multi-LLM Supporters
arXiv:2602.02709v2 Announce Type: replace Abstract: Recent multi-LLM agent systems perform well in prompt optimization and automated problem-solving,...
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🇺🇸 Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
arXiv:2510.23883v2 Announce Type: replace Abstract: Agentic AI systems powered by large language models (LLMs) and endowed with planning, tool use, m...
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🇺🇸 Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
arXiv:2602.12996v1 Announce Type: cross Abstract: Knowledge augmentation has significantly enhanced the performance of Large Language Models (LLMs) i...
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🇺🇸 Knowledge-Based Design Requirements for Generative Social Robots in Higher Education
arXiv:2602.12873v1 Announce Type: cross Abstract: Generative social robots (GSRs) powered by large language models enable adaptive, conversational tu...
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🇺🇸 CacheMind: From Miss Rates to Why -- Natural-Language, Trace-Grounded Reasoning for Cache Replacement
arXiv:2602.12422v1 Announce Type: cross Abstract: Cache replacement remains a challenging problem in CPU microarchitecture, often addressed using han...
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🇺🇸 Reasoning about Intent for Ambiguous Requests
arXiv:2511.10453v2 Announce Type: replace-cross Abstract: Large language models often respond to ambiguous requests by implicitly committing to one i...
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🇺🇸 Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study
arXiv:2510.22747v2 Announce Type: replace-cross Abstract: Despite the widespread adoption of large language models (LLMs), their strongest capabiliti...
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🇺🇸 Eliminating stability hallucinations in llm-based tts models via attention guidance
arXiv:2509.19852v2 Announce Type: replace-cross Abstract: This paper focuses on resolving stability hallucinations (e.g., repetitive or omitted speec...
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🇺🇸 ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
arXiv:2508.12685v3 Announce Type: replace-cross Abstract: Agentic task-solving with Large Language Models (LLMs) requires multi-turn, multi-step inte...
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🇺🇸 R-Zero: Self-Evolving Reasoning LLM from Zero Data
arXiv:2508.05004v4 Announce Type: replace-cross Abstract: Self-evolving Large Language Models (LLMs) offer a scalable path toward super-intelligence ...
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🇺🇸 PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model Serving
arXiv:2504.20101v5 Announce Type: replace-cross Abstract: While significant progress has been made in research and development on open-source and cos...
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🇺🇸 LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
arXiv:2406.14045v3 Announce Type: replace-cross Abstract: Time Series Forecasting (TSF) has long been a challenge in time series analysis. Inspired b...
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🇺🇸 WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning
arXiv:2602.04634v2 Announce Type: replace Abstract: Recent advancements in Large Language Models (LLMs) have largely focused on depth scaling, where ...
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🇺🇸 TRACE: Temporal Reasoning via Agentic Context Evolution for Streaming Electronic Health Records (EHRs)
arXiv:2602.12833v1 Announce Type: cross Abstract: Large Language Models (LLMs) encode extensive medical knowledge but struggle to apply it reliably t...
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🇺🇸 Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis
arXiv:2512.19135v2 Announce Type: replace Abstract: With the development of large language models (LLMs), particularly with the introduction of the l...
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🇺🇸 RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
arXiv:2510.19698v2 Announce Type: replace Abstract: Large Language Models (LLMs) can propose rules in natural language, sidestepping the need for a p...
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🇺🇸 Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows
arXiv:2509.11079v5 Announce Type: replace Abstract: Large Language Model (LLM)-based agentic systems have shown strong capabilities across various ta...
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🇺🇸 SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation
arXiv:2505.14381v3 Announce Type: replace Abstract: With the increasing adoption of Large Language Models (LLMs) and Vision-Language Models (VLMs), r...
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🇺🇸 Asynchronous Verified Semantic Caching for Tiered LLM Architectures
arXiv:2602.13165v1 Announce Type: cross Abstract: Large language models (LLMs) now sit in the critical path of search, assistance, and agentic workfl...
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🇺🇸 Buy versus Build an LLM: A Decision Framework for Governments
arXiv:2602.13033v1 Announce Type: cross Abstract: Large Language Models (LLMs) represent a new frontier of digital infrastructure that can support a ...
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🇺🇸 Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
arXiv:2602.12430v1 Announce Type: cross Abstract: The transition from monolithic language models to modular, skill-equipped agents marks a defining s...
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🇺🇸 From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness
arXiv:2602.12285v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous agents capable of actions with...
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🇺🇸 TriGen: NPU Architecture for End-to-End Acceleration of Large Language Models based on SW-HW Co-Design
arXiv:2602.12962v1 Announce Type: cross Abstract: Recent studies have extensively explored NPU architectures for accelerating AI inference in on-devi...
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🇺🇸 Left-right asymmetry in predicting brain activity from LLMs' representations emerges with their formal linguistic competence
arXiv:2602.12811v1 Announce Type: cross Abstract: When humans and large language models (LLMs) process the same text, activations in the LLMs correla...
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🇺🇸 "Not Human, Funnier": How Machine Identity Shapes Humor Perception in Online AI Stand-up Comedy
arXiv:2602.12763v1 Announce Type: cross Abstract: Chatbots are increasingly applied to domains previously reserved for human actors. One such domain ...
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🇺🇸 VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction
arXiv:2602.12579v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a dominant paradigm for enhanc...
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🇺🇸 SD-MoE: Spectral Decomposition for Effective Expert Specialization
arXiv:2602.12556v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) architectures scale Large Language Models via expert specialization induce...
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🇺🇸 RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
arXiv:2602.12424v1 Announce Type: cross Abstract: Benchmarks establish a standardized evaluation framework to systematically assess the performance o...
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🇺🇸 Soft Contamination Means Benchmarks Test Shallow Generalization
arXiv:2602.12413v1 Announce Type: cross Abstract: If LLM training data is polluted with benchmark test data, then benchmark performance gives biased ...
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🇺🇸 OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
arXiv:2602.12305v1 Announce Type: cross Abstract: Generating high-performance CUDA kernels remains challenging due to the need to navigate a combinat...
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🇺🇸 To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models
arXiv:2602.12566v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) plays a key role in stimulating the explicit re...
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🇺🇸 Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models
arXiv:2602.12419v1 Announce Type: new Abstract: The increasing complexity of smart manufacturing environments demands interfaces that can translate h...
🔗 Entity Intersection Graph
People and organizations frequently mentioned alongside Large language model:
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Artificial intelligence · 20 shared articles -
Reinforcement learning · 11 shared articles -
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Ethics of artificial intelligence · 11 shared articles
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AI safety · 11 shared articles
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AI alignment · 7 shared articles
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Machine learning · 6 shared articles
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AI agent · 5 shared articles
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Educational technology · 4 shared articles -
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Theory of mind · 4 shared articles
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Benchmark · 3 shared articles