{"total":32,"rows":[{"id":"2509.08827","title":"A Survey of Reinforcement Learning for Large Reasoning Models","created":"2025-09-10","cited_by_count":180,"area":"lr"},{"id":"2510.02245","title":"ExGRPO: Learning to Reason from Experience","created":"2025-10-02","cited_by_count":53,"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":"2507.09884","title":"VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains","created":"2025-07-14","cited_by_count":24,"area":"lr"},{"id":"2505.22203","title":"From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning","created":"2025-05-28","cited_by_count":22,"area":"lr"},{"id":"2505.15801","title":"VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models","created":"2025-05-21","cited_by_count":20,"area":"lr"},{"id":"2510.07242","title":"Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense","created":"2025-10-08","cited_by_count":20,"area":"lr"},{"id":"2510.19669","title":"DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference","created":"2025-10-22","cited_by_count":11,"area":"lr"},{"id":"2601.02970","title":"Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning","created":"2026-01-06","cited_by_count":11,"area":"lr"},{"id":"2601.03823","title":"Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning","created":"2026-01-07","cited_by_count":9,"area":"lr"},{"id":"2605.02913","title":"Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning","created":"2026-04-08","cited_by_count":9,"area":"lr"},{"id":"2511.13612","title":"P1: Mastering Physics Olympiads with Reinforcement Learning","created":"2025-11-17","cited_by_count":8,"area":"lr"},{"id":"2510.22543","title":"FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning","created":"2025-10-26","cited_by_count":7,"area":"lr"},{"id":"2602.09443","title":"P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads","created":"2026-02-10","cited_by_count":7,"area":"lr"},{"id":"2508.05613","title":"Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models","created":"2025-08-07","cited_by_count":6,"area":"lr"},{"id":"2509.24285","title":"SCI-Verifier: Scientific Verifier with Thinking","created":"2025-09-29","cited_by_count":6,"area":"lr"},{"id":"2608.31075","title":"Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence","created":"2026-08-31","cited_by_count":5,"area":"lr"},{"id":"2510.14773","title":"Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning","created":"2025-10-16","cited_by_count":4,"area":"lr"},{"id":"2607.15388","title":"Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning","created":"2026-07-16","cited_by_count":2,"area":"lr"},{"id":"2609.18708","title":"Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening","created":"2026-09-16","cited_by_count":2,"area":"lr"},{"id":"2509.19681","title":"Calibrated Reasoning: An Explanatory Verifier for Dynamic and Efficient Problem-Solving","created":"2025-09-24","cited_by_count":1,"area":"lr"},{"id":"2511.18463","title":"Decoupling Perception from Reasoning for Hallucination-Resistant Video Understanding","created":"2025-11-23","cited_by_count":0,"area":"lr"},{"id":"2512.20458","title":"Laser: Governing Long-Horizon Agentic Search via Structured Protocol and Context Register","created":"2025-12-23","cited_by_count":0,"area":"lr"},{"id":"2603.16331","title":"Decoding the Critique Mechanism in Large Reasoning Models","created":"2026-03-17","cited_by_count":0,"area":"lr"},{"id":"2605.06116","title":"Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning","created":"2026-05-07","cited_by_count":0,"area":"lr"},{"id":"2606.10403","title":"KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty","created":"2026-06-09","cited_by_count":0,"area":"lr"},{"id":"2608.25637","title":"AutoVerifier: Residual-Guided Non-Parametric Optimization for Reference-Based Answer Verification","created":"2026-08-26","cited_by_count":0,"area":"lr"},{"id":"2609.21432","title":"GVPO++: Group Variance Policy Optimization for LLM Post-Training and On-Policy Distillation","created":"2026-09-18","cited_by_count":0,"area":"lr"},{"id":"2609.35412","title":"Self-Adapting Group of Experts for Multi-Agent Reasoning","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2610.05615","title":"DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.09587","title":"Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation","created":"2026-10-07","cited_by_count":0,"area":"lr"},{"id":"2610.17824","title":"Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}