Gongyi Zou — accepted AI-conference papers

2026

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents

Yaxin Du, Yuanshuo Zhang, Yifan Zhou, Xiyuan Yang, Cheng Wang, Gongyi Zou +5

ICLR 2026poster

Information seeking is a fundamental requirement for humans. However, existing LLM agents rely heavily on open-web search, which exposes two fundamental weaknesses: online content is noisy and unreliable, and many real-world tasks require precise, domain-specific knowledge unavailable from the web.…

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2026

MCP-Persona: Benchmarking LLM Agents on Personalized MCP Tools and Tasks

Wenhao Wang, Peizhi Niu, Gongyi Zou, Xiyuan Yang, Jingxing Wang, Haoting Shi +6

ICML 2026poster

a transformative standard for connecting large language models (LLMs) with external data sources and tools, and has been rapidly adopted across personal applications and development platforms. However, existing benchmarks predominantly focus on generic information-seeking tools and fail to capture t…

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