most citedLarge Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement

7 citations · 7 across the 4 of their papers we have counts for

collaborators

7 papers

cs.MA2026

ORACLE-SWE: Quantifying the Contribution of Oracle Information Signals on SWE Agents

Kenan Li, Qirui Jin, Liao Zhu +13

Recent advances in language model (LM) agents have significantly improved automated software engineering (SWE). Prior work has proposed various agentic workflows and training strat…

cs.AI2026

PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory

Zhifei Xie, Zongzheng Hu, Fangda Ye +10

Proactivity is a core expectation for AGI. Prior work remains largely confined to laboratory settings, leaving a clear gap in real-world proactive agent: depth, complexity, ambigui…

cs.AI2026

Context-Value-Action Architecture for Value-Driven Large Language Model Agents

TianZe Zhang, Sirui Sun, Yuhang Xie +3

Large Language Models (LLMs) have shown promise in simulating human behavior, yet existing agents often exhibit behavioral rigidity, a flaw frequently masked by the self-referentia…

cs.CL20267 cited

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…

cs.CL2025

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…

cs.CL2025

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…