2026
DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
ICML 2026poster
Effectively scaling Reinforcement Learning (RL) is crucial for enhancing the reasoning and alignment of Large Language Models. The massive data and complex execution flows inherent in these tasks require a distributed architecture capable of efficient scaling. However, to simplify programming and de…