Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Paper • 2503.16419 • Published Mar 20, 2025 • 78
Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation Paper • 2610.21601 • Published 20 days ago • 39
Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability Paper • 2610.08448 • Published 29 days ago • 35
Rethinking On-Policy Distillation of Large Language Models II: One Training Example Paper • 2609.04172 • Published Sep 3 • 83
ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation Paper • 2605.28293 • Published May 27 • 83
Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement Paper • 2605.26952 • Published May 26 • 12
DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning Paper • 2605.25604 • Published May 25 • 41
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability Paper • 2604.06628 • Published Apr 8 • 111
Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search Paper • 2604.08124 • Published Apr 9 • 4
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Paper • 2601.05242 • Published Jan 8 • 236
Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization Paper • 2512.24615 • Published Dec 31, 2025 • 120
The End of Manual Decoding: Towards Truly End-to-End Language Models Paper • 2510.26697 • Published Oct 30, 2025 • 121
VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models Paper • 2509.19803 • Published Sep 24, 2025 • 77
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Paper • 2509.02547 • Published Sep 2, 2025 • 236