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Zhengwei Tao

ICLR 2026×4ACL 2026×2智能体与工具数据与预训练效率与系统检索与知识推理
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一作贡献60
核心/参与20
方向广度13
合作网络12
2 一作 · 6 篇 · ICLR 2026 / ACL 2026

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2026 顶会论文

6
作者位次 #7/13ACL 2026Poster· Natural Language Processing

Nested Browser-Use Learning for Agentic Information Seeking

Baixuan Li · Jialong Wu · Wenbiao Yin · Kuan Li · Zhongwang Zhang · Huifeng Yin · Zhengwei Tao · Liwen Zhang · Pengjun Xie · Jingren Zhou · Yong Jiang · Wentao Zhang · Zhiqiang Gao

摘要

Information-seeking (IS) agents have achieved strong performance across a range of wide and deep search tasks, yet their tool use remains largely restricted to API-level snippet retrieval and URL-based page fetching, limiting access to the richer information available through real browsing. While...

智能体与工具检索与知识推理OpenReview 项目页
作者位次 #12/18ACL 2026Findings· Findings of ACL

Towards General Agentic Intelligence via Environment Scaling

Runnan Fang · Shihao Cai · Baixuan Li · Jialong Wu · Guangyu Li · Wenbiao Yin · Xinyu Wang · Xiaobin Wang · Liangcai Su · Zhen Zhang · Shibin Wu · Zhengwei Tao · Yong Jiang · Pengjun Xie · Ningyu Zhang · Fei Huang · Wentao Zhang · Jingren Zhou

摘要

Advanced agentic intelligence is a prerequisite for deploying Large Language Models in practical, real-world applications. Diverse real-world APIs demand precise, robust function-calling intelligence, which needs agents to develop these capabilities through interaction in varied environments. The...

智能体与工具强化学习与后训练评测与基准OpenReview 项目页

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