Haojun Shi — accepted AI-conference papers

2026

RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users

Suyu Ye, Haojun Shi, Darren Shih, Hyokun Yun, Tanya G. Roosta, Tianmin Shu

AAAI 2026technical

To achieve successful assistance with long-horizon web-based tasks, AI agents must be able to sequentially follow real-world user instructions over a long period. Unlike existing web-based agent benchmarks, sequential instruction following in the real world poses significant challenges beyond perfor

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2025

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind

Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo +1

AAAI 2025technical

Understanding people's social interactions in complex real-world scenarios often relies on intricate mental reasoning. To truly understand how and why people interact with one another, we must infer the underlying mental states that give rise to the social interactions, i.e., Theory of Mind reasonin…

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