7 citations · 8 across the 8 of their papers we have counts for
8 papers
ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents
Kenan Li, Qirui Jin, Liao Zhu +13
Recent advances in Language Model (LM) agents have increasingly focused on repository-level software engineering (SWE) tasks, leading to various agentic workflows, training methods…
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…
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…
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…