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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2025

Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent Interactions

Yixiang Zhang, Xinhao Deng, Zhongyi Gu +4

Large Language Models (LLMs) are increasingly deployed as agents that orchestrate tasks and integrate external tools to execute complex workflows. We demonstrate that these interac…

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…