Large language model
Type of machine learning model
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- Multi-Agent Systems (4)
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Large Language Models (96) · arXiv (20) · Large language models (14) · AI Research (8) · Reinforcement Learning (7) · Retrieval-Augmented Generation (7) · AI Safety (7) · Knowledge Graphs (5) · AI Evaluation (5) · Machine Learning (5) · LLMs (4) · Educational Technology (4) · Computational Efficiency (3) · AI benchmarks (3) · AI research (3) · Large Language Model (3) · Medical AI (3) · AI agents (3) · Benchmark (3) · Neural networks (2)
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📰 Related News (123)
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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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Reinforcement learning · 8 shared articles -
Artificial intelligence · 5 shared articles -
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Machine learning · 4 shared articles
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Educational technology · 4 shared articles -
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AI agent · 4 shared articles
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Benchmark · 3 shared articles
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Information retrieval · 3 shared articles
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Neural network · 2 shared articles
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Ethics of artificial intelligence · 2 shared articles
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AI safety · 2 shared articles