{"total":75,"rows":[{"id":"2403.07691","title":"ORPO: Monolithic Preference Optimization without Reference Model","created":"2024-03-12","cited_by_count":562,"area":"alignment"},{"id":"2502.17419","title":"From System 1 to System 2: A Survey of Reasoning Large Language Models","created":"2025-02-24","cited_by_count":320,"area":"lr"},{"id":"2402.13116","title":"A Survey on Knowledge Distillation of Large Language Models","created":"2024-02-20","cited_by_count":284,"area":"distill"},{"id":"2406.01297","title":"When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs","created":"2024-06-03","cited_by_count":240,"area":null},{"id":"2308.03188","title":"Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies","created":"2023-08-06","cited_by_count":238,"area":"lr"},{"id":"2503.21460","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","created":"2025-03-27","cited_by_count":205,"area":"agents"},{"id":"2505.15134","title":"The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning","created":"2025-05-21","cited_by_count":166,"area":"lr"},{"id":"2411.01111","title":"Rule Based Rewards for Language Model Safety","created":"2024-11-02","cited_by_count":108,"area":"alignment"},{"id":"2412.01951","title":"Self-Improvement in Language Models: The Sharpening Mechanism","created":"2024-12-02","cited_by_count":104,"area":"synth"},{"id":"2405.20304","title":"Group Robust Preference Optimization in Reward-free RLHF","created":"2024-05-30","cited_by_count":95,"area":"lr"},{"id":"2404.14387","title":"A Survey on Self-Evolution of Large Language Models","created":"2024-04-22","cited_by_count":91,"area":null},{"id":"2506.10943","title":"Self-Adapting Language Models","created":"2025-06-12","cited_by_count":84,"area":null},{"id":"2502.02384","title":"STAIR: Improving Safety Alignment with Introspective Reasoning","created":"2025-02-04","cited_by_count":77,"area":"lr"},{"id":"2510.23595","title":"Multi-Agent Evolve: LLM Self-Improve through Co-evolution","created":"2025-10-27","cited_by_count":60,"area":"lr"},{"id":"2506.08446","title":"A Survey on Large Language Models for Mathematical Reasoning","created":"2025-06-10","cited_by_count":52,"area":"lr"},{"id":"2405.14431","title":"RaFe: Ranking Feedback Improves Query Rewriting for RAG","created":"2024-05-23","cited_by_count":49,"area":"rag"},{"id":"2509.15194","title":"Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation","created":"2025-09-18","cited_by_count":45,"area":null},{"id":"2506.09045","title":"MagCache: Fast Video Generation with Magnitude-Aware Cache","created":"2025-06-10","cited_by_count":41,"area":"diffusion"},{"id":"2506.23235","title":"Generalist Reward Models: Found Inside Large Language Models","created":"2025-06-29","cited_by_count":34,"area":"alignment"},{"id":"2511.19900","title":"Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning","created":"2025-11-25","cited_by_count":31,"area":"lr"},{"id":"2510.07841","title":"Self-Improving LLM Agents at Test-Time","created":"2025-10-09","cited_by_count":30,"area":"agents"},{"id":"2409.09345","title":"Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models","created":"2024-09-14","cited_by_count":28,"area":"agents"},{"id":"2310.00533","title":"SELF: Self-Evolution with Language Feedback","created":"2023-10-01","cited_by_count":24,"area":null},{"id":"2401.08574","title":"Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability","created":"2024-01-16","cited_by_count":22,"area":null},{"id":"2410.18640","title":"Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model","created":"2024-10-24","cited_by_count":22,"area":"alignment"},{"id":"2511.19942","title":"Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning","created":"2025-11-25","cited_by_count":22,"area":"lr"},{"id":"2502.16182","title":"IPO: Your Language Model is Secretly a Preference Classifier","created":"2025-02-22","cited_by_count":17,"area":"alignment"},{"id":"2506.01369","title":"Incentivizing LLMs to Self-Verify Their Answers","created":"2025-06-02","cited_by_count":17,"area":"lr"},{"id":"2411.00418","title":"Self-Evolved Reward Learning for LLMs","created":"2024-11-01","cited_by_count":16,"area":"alignment"},{"id":"2411.11504","title":"Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering","created":"2024-11-18","cited_by_count":16,"area":null},{"id":"2412.05818","title":"SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation","created":"2024-12-08","cited_by_count":15,"area":"mllm"},{"id":"2502.11267","title":"Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent","created":"2025-02-16","cited_by_count":15,"area":null},{"id":"2502.20548","title":"$Q\\sharp$: Provably Optimal Distributional RL for LLM Post-Training","created":"2025-02-27","cited_by_count":15,"area":"lr"},{"id":"2510.16062","title":"Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs","created":"2025-10-17","cited_by_count":14,"area":"lr"},{"id":"2505.16475","title":"ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection","created":"2025-05-22","cited_by_count":12,"area":null},{"id":"2308.14328","title":"Reinforcement Learning for Generative AI: A Survey","created":"2023-08-28","cited_by_count":11,"area":null},{"id":"2402.03719","title":"Empowering Language Models with Active Inquiry for Deeper Understanding","created":"2024-02-06","cited_by_count":11,"area":null},{"id":"2602.01062","title":"SetPO: Set-Level Policy Optimization for Diversity-Preserving LLM Reasoning","created":"2026-02-01","cited_by_count":11,"area":"lr"},{"id":"2509.25787","title":"Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking","created":"2025-09-30","cited_by_count":10,"area":"mllm"},{"id":"2402.03628","title":"Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competencies","created":"2024-02-06","cited_by_count":9,"area":"agents"},{"id":"2410.12999","title":"POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization","created":"2024-10-16","cited_by_count":8,"area":"alignment"},{"id":"2502.13417","title":"RLTHF: Targeted Human Feedback for LLM Alignment","created":"2025-02-19","cited_by_count":8,"area":"alignment"},{"id":"2509.23067","title":"Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks","created":"2025-09-27","cited_by_count":7,"area":"synth"},{"id":"2404.09248","title":"Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts","created":"2024-04-14","cited_by_count":6,"area":"agents"},{"id":"2407.01850","title":"Purple-teaming LLMs with Adversarial Defender Training","created":"2024-07-01","cited_by_count":6,"area":"safety"},{"id":"2410.03303","title":"SELU: Self-Learning Embodied MLLMs in Unknown Environments","created":"2024-10-04","cited_by_count":6,"area":"mllm"},{"id":"2507.00075","title":"Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap","created":"2025-06-29","cited_by_count":6,"area":"synth"},{"id":"2601.15812","title":"ErrorMap and ErrorAtlas: Charting the Failure Landscape of Large Language Models","created":"2026-01-22","cited_by_count":6,"area":null},{"id":"2604.07941","title":"Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning","created":"2026-04-09","cited_by_count":6,"area":null},{"id":"2402.07963","title":"SPO: Sequential Monte Carlo Policy Optimisation","created":"2024-02-12","cited_by_count":5,"area":null},{"id":"2407.11000","title":"Autonomous Prompt Engineering in Large Language Models","created":"2024-06-25","cited_by_count":5,"area":null},{"id":"2503.21383","title":"Controlling Large Language Model with Latent Actions","created":"2025-03-27","cited_by_count":5,"area":null},{"id":"2407.03964","title":"Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models","created":"2024-07-04","cited_by_count":4,"area":null},{"id":"2506.06470","title":"SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation","created":"2025-06-06","cited_by_count":4,"area":"lr"},{"id":"2501.11929","title":"ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation","created":"2025-01-21","cited_by_count":3,"area":"rag"},{"id":"2510.13709","title":"Training LLM Agents to Empower Humans","created":"2025-10-15","cited_by_count":3,"area":"agents"},{"id":"2501.12698","title":"Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression","created":"2025-01-22","cited_by_count":2,"area":"alignment"},{"id":"2505.10010","title":"ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts","created":"2025-05-15","cited_by_count":2,"area":"offlinerl"},{"id":"2506.08188","title":"GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2508.07750","title":"Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment","created":"2025-08-11","cited_by_count":2,"area":"alignment"},{"id":"2601.03725","title":"EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning","created":"2026-01-07","cited_by_count":2,"area":null},{"id":"2602.05810","title":"Bifrost: Steering Strategic Trajectories to Bridge Contextual Gaps for Self-Improving Agents","created":"2026-02-05","cited_by_count":2,"area":"synth"},{"id":"2606.03979","title":"Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2404.07108","title":"From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications","created":"2024-04-10","cited_by_count":1,"area":null},{"id":"2602.03195","title":"Reinforcement Learning with Promising Tokens for Large Language Models","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2604.25419","title":"JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR","created":"2026-04-28","cited_by_count":1,"area":"lr"},{"id":"2605.27564","title":"The Future of Facts: Tracing the Factual Generation-Verification Gap","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2608.03119","title":"Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVR","created":"2026-08-04","cited_by_count":1,"area":"lr"},{"id":"2405.14103","title":"Online Self-Preferring Language Models","created":"2024-05-23","cited_by_count":0,"area":"alignment"},{"id":"2406.18245","title":"Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems","created":"2024-06-26","cited_by_count":0,"area":"alignment"},{"id":"2512.01958","title":"Learned-Rule-Augmented Large Language Model Evaluators","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2603.23355","title":"Off-Policy Value-Based Reinforcement Learning for Large Language Models","created":"2026-03-24","cited_by_count":0,"area":"lr"},{"id":"2605.09395","title":"Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning","created":"2026-05-10","cited_by_count":0,"area":"agents"},{"id":"2605.20189","title":"SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation","created":"2026-03-23","cited_by_count":0,"area":"agents"},{"id":"2605.29625","title":"Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models","created":"2026-05-28","cited_by_count":0,"area":"agents"}],"next_cursor":null}