{"total":21,"rows":[{"id":"2510.01135","title":"Prompt Curriculum Learning for Efficient LLM Post-Training","created":"2025-10-01","cited_by_count":45,"area":null},{"id":"2505.24034","title":"LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training","created":"2025-05-29","cited_by_count":42,"area":null},{"id":"2510.02453","title":"How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models","created":"2025-10-02","cited_by_count":24,"area":null},{"id":"2503.05453","title":"Soft Policy Optimization: Online Off-Policy RL for Sequence Models","created":"2025-03-07","cited_by_count":12,"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":"2603.02216","title":"ATPO: Adaptive Tree Policy Optimization for Multi-Turn Medical Dialogue","created":"2026-02-10","cited_by_count":8,"area":null},{"id":"2604.01597","title":"Learning from the Right Rollouts: Data Attribution for PPO-based LLM Post-Training","created":"2026-04-02","cited_by_count":4,"area":null},{"id":"2605.00015","title":"TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning","created":"2026-04-18","cited_by_count":3,"area":null},{"id":"2606.15621","title":"Re-feeding Is Not Replaying: Measuring Replay Noise in Counterfactual Token-Credit Estimation","created":"2026-06-14","cited_by_count":1,"area":null},{"id":"2608.16739","title":"Le Critique: Privileged Value Functions for LLM Reinforcement Learning","created":"2026-08-17","cited_by_count":1,"area":null},{"id":"2609.07072","title":"Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection","created":"2026-09-07","cited_by_count":1,"area":null},{"id":"2609.40115","title":"Unlearnable, or Unmeasured? On the Reliability of Difficulty Labels in RLVR","created":"2026-09-30","cited_by_count":1,"area":null},{"id":"2601.22532","title":"Demystifying Design Choices of Reinforcement Fine-tuning: A Batched Contextual Bandit Learning Perspective","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2608.28599","title":"CDPR: Counterfactual Advantage-based Credit Assignment for Cost-Aware Sequential Medical Diagnosis","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2609.26355","title":"PACT: From Credit Assignment to Critic Alignment","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.27987","title":"PCQC: Privileged Counterfactual Question Credit for Multi-Turn Medical Dialogue","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.37119","title":"Unlocking the Critic: Reward-Free Policy Optimization for LLM Post-Training","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.39247","title":"Trust the Critic More","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2609.40035","title":"OPTS-TTPO: Enhancing Finite-Sample Policy-Gradient Learning with Tree Search","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.00047","title":"Characterizing a Configuration Where Inference-Time PRM-Pruned Fragment Grafting Is Inert: Evidence from Three Reasoning LMs","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2610.03372","title":"SCAD: Structured Credit Assignment and Distillation for Long-Horizon Agents","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}