{"total":27,"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":"2503.23829","title":"Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains","created":"2025-03-31","cited_by_count":156,"area":"lr"},{"id":"2504.19162","title":"SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning","created":"2025-04-27","cited_by_count":42,"area":"lr"},{"id":"2505.00551","title":"100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models","created":"2025-05-01","cited_by_count":30,"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":"2507.03112","title":"RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents","created":"2025-07-03","cited_by_count":25,"area":"lr"},{"id":"2505.23794","title":"R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning","created":"2025-05-26","cited_by_count":20,"area":"lr"},{"id":"2505.10554","title":"Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models","created":"2025-05-15","cited_by_count":18,"area":"lr"},{"id":"2506.06923","title":"Boosting LLM Reasoning via Spontaneous Self-Correction","created":"2025-06-07","cited_by_count":18,"area":"lr"},{"id":"2504.13828","title":"Generative AI Act II: Test Time Scaling Drives Cognition Engineering","created":"2025-04-18","cited_by_count":15,"area":"lr"},{"id":"2603.17775","title":"CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution","created":"2026-03-18","cited_by_count":12,"area":"lr"},{"id":"2505.17447","title":"LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization","created":"2025-05-23","cited_by_count":10,"area":"lr"},{"id":"2510.01925","title":"Enhancing Large Language Model Reasoning with Reward Models: An Analytical Survey","created":"2025-10-02","cited_by_count":8,"area":"lr"},{"id":"2602.21628","title":"RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning","created":"2026-02-25","cited_by_count":5,"area":"lr"},{"id":"2604.01591","title":"ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement","created":"2026-04-02","cited_by_count":5,"area":"lr"},{"id":"2508.19202","title":"Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning","created":"2025-08-26","cited_by_count":4,"area":"lr"},{"id":"2605.15224","title":"ICRL: Learning to Internalize Self-Critique with Reinforcement Learning","created":"2026-05-13","cited_by_count":4,"area":"lr"},{"id":"2505.14684","title":"Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning","created":"2025-05-20","cited_by_count":2,"area":"lr"},{"id":"2509.23014","title":"Planning with Unified Multimodal Models","created":"2025-09-27","cited_by_count":2,"area":"lr"},{"id":"2510.21398","title":"Boosting Accuracy and Efficiency of Budget Forcing in LLMs via Reinforcement Learning for Mathematical Reasoning","created":"2025-10-24","cited_by_count":2,"area":"lr"},{"id":"2604.10228","title":"SVSR: A Self-Verification and Self-Rectification Paradigm for Multimodal Reasoning","created":"2026-04-11","cited_by_count":2,"area":"lr"},{"id":"2508.10019","title":"Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning","created":"2025-08-07","cited_by_count":1,"area":"lr"},{"id":"2602.04413","title":"History-Guided Iterative Visual Reasoning with Self-Correction","created":"2026-02-04","cited_by_count":0,"area":"lr"},{"id":"2604.19567","title":"Multi-modal Reasoning with LLMs for Visual Semantic Arithmetic","created":"2026-04-21","cited_by_count":0,"area":"lr"},{"id":"2606.16811","title":"Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier","created":"2026-06-15","cited_by_count":0,"area":"lr"},{"id":"2609.32235","title":"Solving Every Step Is Not Enough: Milestone Oracles Reveal a Composition Gap in LLM Math Reasoning","created":"2026-09-26","cited_by_count":0,"area":"lr"},{"id":"2610.05976","title":"Can Language Models Learn to Reject Their Own Bad Reasoning Steps?","created":"2026-10-05","cited_by_count":0,"area":"lr"}],"next_cursor":null}