{"total":30,"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":"2508.16949","title":"Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning","created":"2025-08-23","cited_by_count":63,"area":"lr"},{"id":"2602.05125","title":"Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks","created":"2026-02-04","cited_by_count":62,"area":"lr"},{"id":"2509.02208","title":"Baichuan-M2: Scaling Medical Capability with Large Verifier System","created":"2025-09-02","cited_by_count":59,"area":"lr"},{"id":"2602.10885","title":"Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics","created":"2026-02-11","cited_by_count":26,"area":"lr"},{"id":"2601.15808","title":"Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification","created":"2026-01-22","cited_by_count":22,"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":"2606.19327","title":"Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation","created":"2026-06-17","cited_by_count":13,"area":"lr"},{"id":"2509.25534","title":"Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning","created":"2025-09-19","cited_by_count":11,"area":"lr"},{"id":"2510.14738","title":"AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning","created":"2025-10-16","cited_by_count":11,"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":"2510.11184","title":"Reinforcement Learning for Tool-Integrated Interleaved Thinking towards Cross-Domain Generalization","created":"2025-10-13","cited_by_count":7,"area":"lr"},{"id":"2512.20312","title":"TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning","created":"2025-12-23","cited_by_count":7,"area":"lr"},{"id":"2602.01791","title":"Grad2Reward: From Sparse Judgment to Dense Rewards for Improving Open-Ended LLM Reasoning","created":"2026-02-02","cited_by_count":6,"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":"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":"2602.08321","title":"Improving Data and Reward Design for Scientific Reasoning in Large Language Models","created":"2026-02-09","cited_by_count":4,"area":"lr"},{"id":"2605.30244","title":"Reinforcement Learning with Robust Rubric Rewards","created":"2026-05-28","cited_by_count":4,"area":"lr"},{"id":"2603.20046","title":"Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMs","created":"2026-03-20","cited_by_count":3,"area":"lr"},{"id":"2605.08061","title":"Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning","created":"2026-05-08","cited_by_count":3,"area":"lr"},{"id":"2605.09584","title":"CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics","created":"2026-05-10","cited_by_count":3,"area":"lr"},{"id":"2510.07774","title":"Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards","created":"2025-10-09","cited_by_count":1,"area":"lr"},{"id":"2601.22735","title":"MM-THEBench: Do Reasoning MLLMs Think Reasonably?","created":"2026-01-30","cited_by_count":1,"area":"lr"},{"id":"2605.00754","title":"Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring","created":"2026-05-01","cited_by_count":1,"area":"lr"},{"id":"2609.12459","title":"EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning","created":"2026-09-11","cited_by_count":1,"area":"lr"},{"id":"2608.27501","title":"INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning","created":"2026-08-27","cited_by_count":0,"area":"lr"},{"id":"2609.05910","title":"UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms","created":"2026-09-05","cited_by_count":0,"area":"lr"},{"id":"2609.37145","title":"From Judgment Quality to Downstream Utility: Rethinking LLM-as-a-Judge for Open-Ended Tasks","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2609.37190","title":"HaPRL: Human-Anchored Process Reinforcement Learning for Visual Search Agent","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2610.01800","title":"LineupRL: Verifiable Reinforcement Learning for Time Series Captioning via Caption-to-Series Identification","created":"2026-10-01","cited_by_count":0,"area":"lr"}],"next_cursor":null}