DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning

NeurIPSSpotlight2025

Authors
Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Hanting Chen, Xiaozhe Ren, Yasheng Wang, Lu Hou, Lifeng Shang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Information seeking demands iterative evidence gathering and reflective reasoning, yet large language models (LLMs) still struggle with it in open-web question answering…

Opening excerpt from the authors’ abstract. source

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Topics

reinforcement learning large language model language model reasoning llm

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