#Large language models
Latest news articles tagged with "Large language models". Follow the timeline of events, related topics, and entities.
Articles (14)
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🇺🇸 Web Verbs: Typed Abstractions for Reliable Task Composition on the Agentic Web
[USA]
arXiv:2602.17245v1 Announce Type: new Abstract: The Web is evolving from a medium that humans browse to an environment where software agents act on behalf of users. Advances in large language models ...
Related: #Artificial intelligence, #Web automation, #Software agents, #Functional abstraction -
🇺🇸 Discovering Multiagent Learning Algorithms with Large Language Models
[USA]
arXiv:2602.16928v1 Announce Type: cross Abstract: Much of the advancement of Multi-Agent Reinforcement Learning (MARL) in imperfect-information games has historically depended on manual iterative ref...
Related: #Multiagent reinforcement learning, #Game theory, #Algorithmic discovery, #Evolutionary coding agents -
🇺🇸 AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
[USA]
arXiv:2602.17594v1 Announce Type: new Abstract: Rigorously evaluating machine intelligence against the broad spectrum of human general intelligence has become increasingly important and challenging i...
Related: #Artificial Intelligence evaluation, #Generalized game-playing, #Open‑ended benchmarking, #Human‑in‑the‑loop system design -
🇺🇸 Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers
[USA]
arXiv:2602.17410v1 Announce Type: cross Abstract: Large language models (LLMs) have shown great promise in recommender systems, where supervised fine-tuning (SFT) is commonly used for adaptation. Sub...
Related: #Recommendation systems, #Preference learning, #Negative sampling, #Intermediate layer representation -
🇺🇸 Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach
[USA]
arXiv:2602.16481v1 Announce Type: new Abstract: Causal discovery seeks to uncover causal relations from data, typically represented as causal graphs, and is essential for predicting the effects of in...
Related: #Causal inference, #Symbolic reasoning, #Argumentation, #Constraint‑based methods -
🇺🇸 Decoupling Strategy and Execution in Task-Focused Dialogue via Goal-Oriented Preference Optimization
[USA]
arXiv:2602.15854v1 Announce Type: cross Abstract: Large language models show potential in task-oriented dialogue systems, yet existing training methods often rely on token-level likelihood or prefere...
Related: #Task‑oriented dialogue, #Reinforcement learning, #Hierarchical agent design, #Strategy planning -
🇺🇸 Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment
[USA]
arXiv:2602.16438v1 Announce Type: cross Abstract: Conventional large language model (LLM) fairness alignment largely focuses on mitigating bias along single sensitive attributes, overlooking fairness...
Related: #AI fairness, #Bias spillover, #Multidimensional alignment, #Ethical AI design -
🇺🇸 FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples
[USA]
arXiv:2508.11810v2 Announce Type: replace-cross Abstract: Synthetic healthcare data generation offers a promising solution to research limitations in clinical settings caused by privacy and regulator...
Related: #Data privacy in healthcare, #Synthetic data generation, #Resource efficiency, #Fairness and bias in AI -
🇺🇸 State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models
[USA]
arXiv:2602.15858v1 Announce Type: cross Abstract: As large language models (LLMs) move from static reasoning tasks toward dynamic environments, their success depends on the ability to navigate and re...
Related: #Dynamic reasoning, #State representation, #Granularity, #Structure -
🇺🇸 Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
[USA]
arXiv:2602.15791v1 Announce Type: new Abstract: Accurate representation of building semantics, encompassing both generic object types and specific subtypes, is essential for effective AI model traini...
Related: #Artificial intelligence, #Semantic preservation, #Building information modeling, #AECO industry -
🇺🇸 Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems
[USA]
arXiv:2602.15198v1 Announce Type: cross Abstract: Multi-agent systems, where LLM agents communicate through free-form language, enable sophisticated coordination for solving complex cooperative tasks...
Related: #AI safety, #Multi‑agent coordination, #Collusion detection, #Auditing frameworks -
🇺🇸 Closing the Distribution Gap in Adversarial Training for LLMs
[USA]
arXiv:2602.15238v1 Announce Type: cross Abstract: Adversarial training for LLMs is one of the most promising methods to reliably improve robustness against adversaries. However, despite significant p...
Related: #Adversarial robustness, #Distribution shift, #Training methodology, #AI safety and security -
🇺🇸 NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models
[USA]
arXiv:2602.13237v1 Announce Type: new Abstract: Automated reasoning is critical in domains such as law and governance, where verifying claims against facts in documents requires both accuracy and int...
Related: #Automated reasoning, #Natural language processing, #Logic translation, #Law and governance applications -
🇺🇸 GRAIL: Geometry-Aware Retrieval-Augmented Inference with LLMs over Hyperbolic Representations of Patient Trajectories
[USA]
arXiv:2602.12828v1 Announce Type: cross Abstract: Predicting future clinical events from longitudinal electronic health records (EHRs) is challenging due to sparse multi-type clinical events, hierarc...
Related: #Healthcare AI, #Medical informatics