AI RESEARCH
ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards
arXiv CS.CL
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ArXi:2510.00568v3 Announce Type: replace Search agents powered by Large Language Models (LLMs) have nstrated significant potential in tackling knowledge-intensive tasks. Reinforcement learning (RL) has emerged as a powerful paradigm for