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Yi-Xuan He

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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
#artificial intelligence Review Oct 2026

AgentPersonaBench: Benchmarking Persona-Driven User Simulation

We introduce AgentPersonaBench (APB), a benchmark evaluating whether persona conditioning faithfully steers downstream agent behavior. While language models are increasingly deployed for persona-driven user simulation, existing benchmarks primarily evaluate conversational styling or self-reports rather than authentic b...

Jin-Tao Huang, Yi-Fan Wang, Hong-Yuan Shen et al. · 0 citations
#artificial intelligence Preprint Oct 2026

When Is Deletion Ordering Tractable? From Update Dynamics to Permutation Structure

Given a fixed set of pending deletion requests, retraining from scratch after each request is prohibitive, so a prescribed request-wise policy processes them sequentially. The resulting terminal model can depend on their order. Rather than prescribing an ordering rule, we study the permutation objective induced by the...

Xin-Yu Wang, Zi-Yu Zhao, Yi-Xuan He et al. · 0 citations

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