{"total":17,"rows":[{"id":"2503.14286","title":"Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs","created":"2025-03-18","cited_by_count":61,"area":null},{"id":"2506.10406","title":"PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier","created":"2025-06-12","cited_by_count":28,"area":null},{"id":"2503.04104","title":"LLMs Can Generate a Better Answer by Aggregating Their Own Responses","created":"2025-03-06","cited_by_count":27,"area":null},{"id":"2509.17995","title":"Variation in Verification: Understanding Verification Dynamics in Large Language Models","created":"2025-09-22","cited_by_count":19,"area":null},{"id":"2509.22638","title":"Language Models Can Learn from Verbal Feedback Without Scalar Rewards","created":"2025-09-26","cited_by_count":18,"area":null},{"id":"2502.01619","title":"Learning to Generate Unit Tests for Automated Debugging","created":"2025-02-03","cited_by_count":17,"area":null},{"id":"2501.19383","title":"Decoding-based Regression","created":"2025-01-31","cited_by_count":12,"area":null},{"id":"2603.14473","title":"AI Can Learn Scientific Taste","created":"2026-03-15","cited_by_count":11,"area":null},{"id":"2604.10701","title":"Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning","created":"2026-04-12","cited_by_count":11,"area":null},{"id":"2510.13291","title":"Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems","created":"2025-10-15","cited_by_count":7,"area":null},{"id":"2510.17793","title":"Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains","created":"2025-10-20","cited_by_count":5,"area":null},{"id":"2605.20745","title":"The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering","created":"2026-05-20","cited_by_count":5,"area":null},{"id":"2503.12167","title":"PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing","created":"2025-03-15","cited_by_count":4,"area":null},{"id":"2509.21091","title":"Best-of-$\\infty$ -- Asymptotic Performance of Test-Time LLM Ensembling","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2601.10187","title":"HOMURA: Taming the Sand-Glass for Time-Constrained LLM Translation via Reinforcement Learning","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2602.11570","title":"PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering","created":"2026-02-12","cited_by_count":1,"area":null},{"id":"2608.18027","title":"Chain-of-Experience for Continual LLM Improvement","created":"2026-08-18","cited_by_count":1,"area":null}],"next_cursor":null}