DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation Paper • 2511.06307 • Published 30 days ago • 50
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling Paper • 2508.17445 • Published Aug 24 • 80
AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning Paper • 2505.11896 • Published May 17 • 58
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model Paper • 2504.15843 • Published Apr 22 • 16
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs Paper • 2504.14655 • Published Apr 20 • 20
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback Paper • 2503.22230 • Published Mar 28 • 45
Policy Filtration in RLHF to Fine-Tune LLM for Code Generation Paper • 2409.06957 • Published Sep 11, 2024 • 7