4 citations · 4 across the 4 of their papers we have counts for
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cs.CL2025
Generative Personality Simulation via Theory-Informed Structured Interview
Pengda Wang, Huiqi Zou, Han Jiang +5
Despite their potential as human proxies, LLMs often fail to generate heterogeneous data with human-like diversity, thereby diminishing their value in advancing social science rese…
cs.CL2024
From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition
Qiyuan Yang, Pengda Wang, Luke D. Plonsky +2
We examine the language capabilities of language models (LMs) from the critical perspective of human language acquisition. Building on classical language development theories, we p…
cs.CL2024★ 4 cited
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs
Pengda Wang, Zilin Xiao, Hanjie Chen +1
Although large language models (LLMs) have demonstrated remarkable proficiency in modeling text and generating human-like text, they may exhibit biases acquired from training data…