13 citations · 16 across the 11 of their papers we have counts for
3 papers · 1 filter
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
Haizhong Zheng, Jiawei Zhao, Beidi Chen
Reinforcement learning has been central to recent advances in large language model reasoning, but most algorithms rely on on-policy training that demands fresh rollouts at every up…
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
Haizhong Zheng, Yang Zhou, Brian R. Bartoldson +4
Reinforcement learning, such as PPO and GRPO, has powered recent breakthroughs in LLM reasoning. Scaling rollout to sample more prompts enables models to selectively use higher-qua…
GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?
Yang Zhou, Hongyi Liu, Zhuoming Chen +2
Long-context large language models (LLMs) have recently shown strong performance in information retrieval and long-document QA. However, to tackle the most challenging intellectual…