most citedAsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

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cs.LG2026

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

Jingwei Song, Meng Chen, Jie Xiao +15

Reinforcement learning (RL) is a critical stage in post-training large language models (LLMs), involving repeated interaction between rollout generation, reward evaluation, and cen…

cs.LG2025★ 1 cited

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Zhenyu Han, Ansheng You, Haibo Wang +16

Reinforcement learning (RL) has become a pivotal technology in the post-training phase of large language models (LLMs). Traditional task-collocated RL frameworks suffer from signif…