3 papers
cs.CL2026
SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models
Binxian Su, Haoye Lou, Shucheng Zhu +4
Large language models (LLMs) are being increasingly used in urban planning, but since gendered space theory highlights how gender hierarchies are embedded in spatial organization,…
cs.CL2024
Evaluating Moral Beliefs across LLMs through a Pluralistic Framework
Xuelin Liu, Yanfei Zhu, Shucheng Zhu +3
Proper moral beliefs are fundamental for language models, yet assessing these beliefs poses a significant challenge. This study introduces a novel three-module framework to evaluat…
cs.CL2024
Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT
Shucheng Zhu, Weikang Wang, Ying Liu
While nationality is a pivotal demographic element that enhances the performance of language models, it has received far less scrutiny regarding inherent biases. This study investi…