Entities · Models
LLM
86 articles tagged with this entity.
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AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation
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AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation
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NAMD: Virtual Follow-up Computed Tomography Synthesis via Nodule-Aligned Multimodal Diffusion Models for Early Lung Cancer Diagnosis
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From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
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Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding
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WordVoice: Explicit and Decoupled Multi-Dimensional Word-Level Control for LLM-Based TTS
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Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations
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Differentiate the Evaluator, Not the Program: An Efficient Runtime Representation for Neuro-Symbolic Learning
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A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign
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Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming
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AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
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Meta-Benchmarks for Financial-Services LLM Evaluation
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ExPerT: Personalizing LLM Responses to Users' Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues
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The website of the future may assemble itself for every visitor
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AI browsers can be lulled into a dream world where guardrails no longer apply
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Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game
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Grounding LLM Reasoning under Incomplete Graph Evidence
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Mural: Transferring LLM knowledge to image generation via Mixture-of-Transformers
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Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi
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SidConArena: An Environment Evaluating Agents in Open-Ended,Positive-Sum Bargaining Game
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ToxiREX: A Dataset on Toxic REasoning in ConteXt
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A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
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Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents
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TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints
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Debate2Create: Robot Co-design via Multi-Agent LLM Debate
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AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
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Your Mouse and Eyes Secretly Leak Your Preference: LLM Alignment using Implicit Feedback from Users
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AI4SE and SE4AI Exploration: A Decade Looking Back and Forward
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RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing
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Written by AI, Managed by AI: Semantic Space Control and Index Sickness Elimination Across 391 Consecutive Sessions
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BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
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Surrogate Assisted Pedestrian Protection Design via a Foundation Model Orchestrated Workflow
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David vs. Goliath in Next Activity Prediction: Argmax vs. LSTM, Transformer, and LLM
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daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization
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REFLEX: Reflective Evolution from LLM Experience
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IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset
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Can LLM Coding Agents Reason About Time Series?
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RL-Index: Reinforcement Learning for Retrieval Index Reasoning
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Prior over Evidence: Stereotype-Driven Diagnosis in LLM-Based L2 Pronunciation Feedback
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Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives
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Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations
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Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
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Does the Judge Prefer English? Evaluating Language-Switching Invariance in LLM-as-a-Judge
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TwinBI: An Agentic Digital Twin for Efficient Augmented Interactions with Business Intelligence Dashboards
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Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation
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Divination by Prompt: LLM-Mediated Xuanxue on Chinese Social Media
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SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems
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Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting
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Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
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Mind the Gap: Can Frontier LLMs Pass a Standardized Office Proficiency Exam?
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Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration
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Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization
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Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework
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Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning
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Korean Culture into LLM Alignment: Toward Cultural Coherence
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How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning Failures
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Automatic Causal Fairness Analysis with LLM-Generated Reporting
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LLM-Guided Evolution for Medical Decision Pipelines
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The End of Software Engineering: How AI Agents Are Fundamentally Restructuring the Software Paradigm
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Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges
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From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment
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Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
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CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space
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A Pre-Training Analogue of Grokking in Language Models: Tracing Delayed Grammatical Generalization
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Learning from Saturated Data: Signals Beyond Correctness for LLM Training
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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
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Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning
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Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents
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How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
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Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
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When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
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PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
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DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints
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Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization
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LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
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Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
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TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
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LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition
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Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction
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Creative Quality Alignment: Expert Tacit Knowledge Transfer via Chain-of-Thought Fine-Tuning
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Generating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation
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OnePred: Next-Query Prediction via Recursive Intent Memory in Multi-Turn Conversations
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OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents
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Demystifying Manifold Constraints in LLM Pre-training
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Pretraining A Large Language Model using Distributed GPUs: A Memory-Efficient Decentralized Paradigm
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Make Your LVLM KV Cache More Lightweight