AI RESEARCH
Adaptive Stopping for Multi-Turn LLM Reasoning
arXiv CS.AI
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ArXi:2604.01413v2 Announce Type: replace-cross Large Language Models (LLMs) increasingly rely on multi-turn reasoning and interaction, such as adaptive retrieval-augmented generation (RAG) and ReAct-style agents, to answer difficult questions. These methods improve accuracy by iteratively retrieving information, reasoning, or acting, but