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
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
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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