7 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
EAVIT: Efficient and Accurate Human Value Identification from Text data via LLMs
Wenhao Zhu, Yuhang Xie, Guojie Song +1
The rapid evolution of large language models (LLMs) has revolutionized various fields, including the identification and discovery of human values within text data. While traditiona…
Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement
Haoran Ye, Jing Jin, Yuhang Xie +2
The advancement of large language models (LLMs) has outpaced traditional evaluation methodologies. This progress presents novel challenges, such as measuring human-like psychologic…
Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models
Haoran Ye, Tianze Zhang, Yuhang Xie +4
Values are core drivers of individual and collective perception, cognition, and behavior. Value systems, such as Schwartz's Theory of Basic Human Values, delineate the hierarchy an…
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
Haoran Ye, Yuhang Xie, Yuanyi Ren +3
Human values and their measurement are long-standing interdisciplinary inquiry. Recent advances in AI have sparked renewed interest in this area, with large language models (LLMs)…
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models
Yuanyi Ren, Haoran Ye, Hanjun Fang +2
Large Language Models (LLMs) are transforming diverse fields and gaining increasing influence as human proxies. This development underscores the urgent need for evaluating value or…