Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
arXiv:2604.14267v2 Announce Type: replace
Abstract: Search agents extend Large Language Models (LLMs) beyond static parametric knowledge by enabling access to up-to-date and long-tail information unavailable during pretraining. While reinforcement lea…