AI RESEARCH
LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning
arXiv CS.LG
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ArXi:2604.14922v1 Announce Type: new Reinforcement Learning (RL) has emerged as a critical driver for enhancing the reasoning capabilities of Large Language Models (LLMs). While recent advancements have focused on reward engineering or data synthesis, few studies exploit the model's intrinsic representation characteristics to guide the