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Zheyuan Deng

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#artificial intelligence Preprint Oct 2026

PersonaScienceBench: Evaluating Scientific Agents with Diverse Simulated Researchers

PersonalityScienceBench evaluates how agents collaborate with diverse researchers alongside whether they complete the task, and across eighteen modelconfigurations, task performance, fact recovery, and self-repetition reveal different strengths.

Si-Yang Wu, Wei-Zhi Zhang, Chen Yang et al. · 0 citations
Review Aug 2026

MatrAIx: Simulating the World with 8.3 Billion Persona Agents

MatrAIx is introduced, a population-scale simulated-user evaluation infrastructure for testing AI systems and digital products with heterogeneous users and provides an end-to-end infrastructure for evaluating AI systems and digital products with diverse simulated human users.

Xiaomin Li, Yuexing Hao, Jian Hou et al. · 1 citation
Preprint Aug 2026

CONTRAMEM: Learning Self-Evolving Procedural Memory from Contrasting Multi-Model Trajectories

Autonomous computer-use agents are increasingly applied to long-horizon tasks requiring coordinated application calls, persistent state tracking, and verifier-sensitive writes, yet they remain prone to procedural failures: misreading application state, tool semantics, or task progress. Procedural memory promises more c...

Zheyuan Deng, Bing-Hang Lu, Han-Qi Feng et al. · 0 citations

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