111 citations · 264 across the 41 of their papers we have counts for
4 papers · 1 filter
WebWorld: A Large-Scale World Model for Web Agent Training
Zikai Xiao, Jianhong Tu, Chuhang Zou +7
Web agents require massive trajectories to generalize, yet real-world training is constrained by network latency, rate limits, and safety risks. We introduce \textbf{WebWorld} seri…
A Multi-Agent System Enables Versatile Information Extraction from the Chemical Literature
Yufan Chen, Ching Ting Leung, Bowen Yu +5
To fully expedite AI-powered chemical research, high-quality chemical databases are the foundation. Automatic extraction of chemical information from the literature is essential fo…
MARGE: Improving Math Reasoning for LLMs with Guided Exploration
Jingyue Gao, Runji Lin, Keming Lu +3
Large Language Models (LLMs) exhibit strong potential in mathematical reasoning, yet their effectiveness is often limited by a shortage of high-quality queries. This limitation nec…
ProcessBench: Identifying Process Errors in Mathematical Reasoning
Chujie Zheng, Zhenru Zhang, Beichen Zhang +6
As language models regularly make mistakes when solving math problems, automated identification of errors in the reasoning process becomes increasingly significant for their scalab…