{"total":29,"rows":[{"id":"2411.15124","title":"Tulu 3: Pushing Frontiers in Open Language Model Post-Training","created":"2024-11-22","cited_by_count":1053,"area":"lr"},{"id":"2304.06767","title":"RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment","created":"2023-04-13","cited_by_count":686,"area":"lr"},{"id":"2502.01456","title":"Process Reinforcement through Implicit Rewards","created":"2025-02-03","cited_by_count":504,"area":"lr"},{"id":"2407.00215","title":"LLM Critics Help Catch LLM Bugs","created":"2024-06-28","cited_by_count":147,"area":"lr"},{"id":"2311.06753","title":"AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs","created":"2023-11-12","cited_by_count":59,"area":"lr"},{"id":"2412.14135","title":"Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective","created":"2024-12-18","cited_by_count":50,"area":"lr"},{"id":"2505.15034","title":"RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning","created":"2025-05-21","cited_by_count":40,"area":"lr"},{"id":"2504.03846","title":"Do LLM Evaluators Prefer Themselves for a Reason?","created":"2025-04-04","cited_by_count":38,"area":"lr"},{"id":"2410.12735","title":"CREAM: Consistency Regularized Self-Rewarding Language Models","created":"2024-10-16","cited_by_count":35,"area":"lr"},{"id":"2408.16326","title":"Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic","created":"2024-08-29","cited_by_count":28,"area":"lr"},{"id":"2410.15595","title":"A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications","created":"2024-10-21","cited_by_count":27,"area":"lr"},{"id":"2505.19640","title":"Interleaved Reasoning for Large Language Models via Reinforcement Learning","created":"2025-05-26","cited_by_count":21,"area":"lr"},{"id":"2508.10874","title":"SSRL: Self-Search Reinforcement Learning","created":"2025-08-14","cited_by_count":14,"area":"lr"},{"id":"2506.04746","title":"Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models","created":"2025-06-05","cited_by_count":11,"area":"lr"},{"id":"2505.20072","title":"Incentivizing Strong Reasoning from Weak Supervision","created":"2025-05-26","cited_by_count":8,"area":"lr"},{"id":"2508.03178","title":"Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following","created":"2025-08-05","cited_by_count":6,"area":"lr"},{"id":"2508.01969","title":"Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling","created":"2025-08-04","cited_by_count":4,"area":"lr"},{"id":"2508.06412","title":"Sample-efficient LLM Optimization with Reset Replay","created":"2025-08-08","cited_by_count":4,"area":"lr"},{"id":"2602.13093","title":"Consistency of Large Reasoning Models Under Multi-Turn Attacks","created":"2026-02-13","cited_by_count":4,"area":"lr"},{"id":"2501.17104","title":"COS(M+O)S: Curiosity and RL-Enhanced MCTS for Exploring Story Space via Language Models","created":"2025-01-28","cited_by_count":3,"area":"lr"},{"id":"2504.07596","title":"Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution","created":"2025-04-10","cited_by_count":2,"area":"lr"},{"id":"2601.12748","title":"Towards Robust Process Reward Modeling via Noise-aware Learning","created":"2026-01-19","cited_by_count":2,"area":"lr"},{"id":"2601.17275","title":"Latent-Space Contrastive Reinforcement Learning for Stable and Efficient LLM Reasoning","created":"2026-01-24","cited_by_count":1,"area":"lr"},{"id":"2603.27335","title":"PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering","created":"2026-03-28","cited_by_count":1,"area":"lr"},{"id":"2605.06444","title":"SCRuB: Social Concept Reasoning under Rubric-Based Evaluation","created":"2026-05-07","cited_by_count":1,"area":"lr"},{"id":"2606.05625","title":"Self-Commitment Latency: A Reward-Free Probe for Prompted Implicit Hacking","created":"2026-06-04","cited_by_count":1,"area":"lr"},{"id":"2507.02173","title":"Data Diversification Methods In Alignment Enhance Math Performance In LLMs","created":"2025-07-02","cited_by_count":0,"area":"lr"},{"id":"2609.04648","title":"ConsensusBench: Benchmark of Consensus Nodes for LLM Reasoning via Outcome Reward Densifying","created":"2026-09-04","cited_by_count":0,"area":"lr"},{"id":"2609.09776","title":"Proof-Carrying Cognition: Closing the Verification Gap with Reality-Settled Reward","created":"2026-09-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}