AI RESEARCH
Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning
arXiv CS.LG
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ArXi:2511.14617v3 Announce Type: replace-cross Reinforcement Learning (RL) has emerged as a critical technique for advancing modern Large Language Models (LLMs), yet existing synchronous RL systems face severe performance bottlenecks. The rollout phase, which dominates end-to-end iteration time, suffers from substantial long-tail latency and poor resource utilization due to inherent workload imbalance.