E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
Paper • 2601.00423 • Published • 11
RL
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GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 231 -
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
Paper • 2601.18150 • Published • 9 -
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
Paper • 2601.20218 • Published • 16 -
Flow-GRPO: Training Flow Matching Models via Online RL
Paper • 2505.05470 • Published • 88 -
Unified Personalized Reward Model for Vision Generation
Paper • 2602.02380 • Published • 20 -
Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
Paper • 2602.06422 • Published • 47 -
Flow-OPD: On-Policy Distillation for Flow Matching Models
Paper • 2605.08063 • Published • 93