Haoting Shi
1 indexed paper
Recent (6 mo)
1With code
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126
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AI×1
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2026
MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
The paper introduces MCP-Persona, a novel benchmark designed to evaluate LLM agents' performance on real-world, personalized applications using the Model Context Protocol (MCP), revealing that current state-of-the-art agents struggle with such personalized tool use.
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Papers
cs.AIRecentJun 1, 2026
MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
Wenhao Wang, Peizhi Niu, Gongyi Zou, Xiyuan Yang +8 more
The paper introduces MCP-Persona, a novel benchmark designed to evaluate LLM agents' performance on real-world, personalized applications using the Model Context Protocol (MCP), revealing that current…
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