AI RESEARCH
Escaping the Context Bottleneck: Active Context Curation for LLM Agents via Reinforcement Learning
arXiv CS.AI
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ArXi:2604.11462v1 Announce Type: new Large Language Models (LLMs) struggle with long-horizon tasks due to the "context bottleneck" and the "lost-in-the-middle" phenomenon, where accumulated noise from verbose environments degrades reasoning over multi-turn interactions. To address this issue, we