{"total":41,"rows":[{"id":"2503.09567","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","created":"2025-03-12","cited_by_count":384,"area":"lr"},{"id":"2503.24235","title":"A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?","created":"2025-03-31","cited_by_count":223,"area":"lr"},{"id":"2506.03106","title":"Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback","created":"2025-06-03","cited_by_count":90,"area":"lr"},{"id":"2503.12854","title":"Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation","created":"2025-03-17","cited_by_count":37,"area":"lr"},{"id":"2504.10337","title":"Heimdall: test-time scaling on the generative verification","created":"2025-04-14","cited_by_count":26,"area":"lr"},{"id":"2507.09075","title":"OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique","created":"2025-07-11","cited_by_count":25,"area":"lr"},{"id":"2504.08672","title":"Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning","created":"2025-04-11","cited_by_count":24,"area":"lr"},{"id":"2507.02778","title":"Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models","created":"2025-07-03","cited_by_count":20,"area":"lr"},{"id":"2505.22457","title":"Fostering Video Reasoning via Next-Event Prediction","created":"2025-05-28","cited_by_count":18,"area":"lr"},{"id":"2510.06672","title":"XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation","created":"2025-10-08","cited_by_count":18,"area":"lr"},{"id":"2505.22651","title":"Sherlock: Self-Correcting Reasoning in Vision-Language Models","created":"2025-05-28","cited_by_count":13,"area":"lr"},{"id":"2509.25004","title":"CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning","created":"2025-09-29","cited_by_count":13,"area":"lr"},{"id":"2505.18955","title":"Co-PatcheR: Collaborative Software Patching with Component(s)-specific Small Reasoning Models","created":"2025-05-25","cited_by_count":12,"area":"lr"},{"id":"2602.03916","title":"SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?","created":"2026-02-03","cited_by_count":11,"area":"lr"},{"id":"2502.09183","title":"RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation","created":"2025-02-13","cited_by_count":8,"area":"lr"},{"id":"2502.19414","title":"Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation","created":"2025-02-26","cited_by_count":7,"area":"lr"},{"id":"2509.22824","title":"Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning","created":"2025-09-26","cited_by_count":7,"area":"lr"},{"id":"2509.21070","title":"ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning","created":"2025-09-25","cited_by_count":6,"area":"lr"},{"id":"2504.14858","title":"Retrieval is Not Enough: Enhancing RAG Reasoning through Test-Time Critique and Optimization","created":"2025-04-21","cited_by_count":5,"area":"lr"},{"id":"2603.04597","title":"Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning","created":"2026-03-04","cited_by_count":5,"area":"lr"},{"id":"2502.07985","title":"MetaSC: Test-Time Safety Specification Optimization for Language Models","created":"2025-02-11","cited_by_count":4,"area":"lr"},{"id":"2601.12720","title":"Teaching Large Reasoning Models Effective Reflection","created":"2026-01-19","cited_by_count":4,"area":"lr"},{"id":"2506.03295","title":"Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem","created":"2025-06-03","cited_by_count":3,"area":"lr"},{"id":"2508.17803","title":"DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models","created":"2025-08-25","cited_by_count":3,"area":"lr"},{"id":"2505.11628","title":"Critique-Guided Distillation for Robust Reasoning via Refinement","created":"2025-05-16","cited_by_count":2,"area":"lr"},{"id":"2506.21285","title":"Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning","created":"2025-06-26","cited_by_count":2,"area":"lr"},{"id":"2511.09865","title":"In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback","created":"2025-11-13","cited_by_count":2,"area":"lr"},{"id":"2512.03244","title":"ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth","created":"2025-12-02","cited_by_count":2,"area":"lr"},{"id":"2602.02143","title":"Learning Generative Selection for Best-of-N","created":"2026-02-02","cited_by_count":2,"area":"lr"},{"id":"2602.18746","title":"Bridging Modality Disconnect in Self-Reflection via Closed-Loop Visually Grounded Verification","created":"2026-02-21","cited_by_count":2,"area":"lr"},{"id":"2509.23152","title":"Critique to Verify: Accurate and Honest Test-Time Scaling with RL-Trained Verifiers","created":"2025-09-27","cited_by_count":1,"area":"lr"},{"id":"2511.06065","title":"ScRPO: From Errors to Insights","created":"2025-11-08","cited_by_count":1,"area":"lr"},{"id":"2511.18084","title":"The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement from Clinical Decision-making Quality","created":"2025-11-22","cited_by_count":1,"area":"lr"},{"id":"2602.07832","title":"rePIRL: Learn PRM with Inverse RL for LLM Reasoning","created":"2026-02-08","cited_by_count":1,"area":"lr"},{"id":"2602.22765","title":"Towards Better RL Training Data Utilization via Second-Order Rollout","created":"2026-02-26","cited_by_count":1,"area":"lr"},{"id":"2507.20278","title":"MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning","created":"2025-07-27","cited_by_count":0,"area":"lr"},{"id":"2510.01674","title":"FOR-Prompting: From Objection to Revision via an Asymmetric Prompting Protocol","created":"2025-10-02","cited_by_count":0,"area":"lr"},{"id":"2605.14539","title":"Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2605.14636","title":"Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2606.04466","title":"Learning What to Learn: Stage-Specific Data Sets for SFT-then-RL in Small Language Model Reasoning","created":"2026-06-03","cited_by_count":0,"area":"lr"},{"id":"2609.19156","title":"Reflective Recovery: A Self-Supervised Method for Reasoning by Learning from Mistakes","created":"2026-07-24","cited_by_count":0,"area":"lr"}],"next_cursor":null}