الباحثون

Yuanzi Li

المنشورات 2

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SCBO: Semantically Coherent Batching and Ordering for LLM-Based Social Surveys

Yuanzi Li, Lingjie Wang, Zihang Tian وآخرون · 2026

Large Language Models (LLMs) offer a scalable way to simulate survey respondents using demographic profiles and observed reference responses. However, the conventional approach of predicting one question per prompt repeatedly encodes the same context, limits each target to a narrow set of reference responses, and preve …

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Understanding Reliability in LLM-based Human Behavior Simulation

Pei Wang, Lei Wang, Yuanzi Li وآخرون · 2026

Large language models (LLMs) are increasingly used to simulate human survey responses and behavioral reactions, yet unreliable simulations can mislead social science conclusions. However, existing evaluations focus on end-to-end scores, leaving it unclear how different aspects of the simulation process interact to dete …

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