Wenxuan Shi

Researcher, Huawei Technologies Ltd.

1 paper at NeurIPS 2025

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Poster Session 1

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning

#5301 Spotlight · Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Hanting Chen, Xiaozhe Ren, Yasheng Wang, Lu Hou, Lifeng Shang

Our paper introduces WebPuzzle, a novel dataset boosting LLMs' real-world info-seeking capability, and DeepDiver, an RL-based framework enabling dynamic Search Intensity Scaling for iterative evidence gathering.