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cs.CL2026
SCBO: Semantically Coherent Batching and Ordering for LLM-Based Social Surveys
Yuanzi Li, Lingjie Wang, Zihang Tian +2
Large Language Models (LLMs) offer a scalable way to simulate survey respondents using demographic profiles and observed reference responses. However, the conventional approach of…
cs.CL2026
Understanding Reliability in LLM-based Human Behavior Simulation
Pei Wang, Lei Wang, Yuanzi Li +1
Large language models (LLMs) are increasingly used to simulate human survey responses and behavioral reactions, yet unreliable simulations can mislead social science conclusions. H…
cs.CL2024
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
Lei Wang, Jianxun Lian, Yi Huang +5
Role-playing is a crucial capability of Large Language Models (LLMs), enabling a wide range of practical applications, including intelligent non-player characters, digital twins, a…