Cultural bias and cultural alignment of large language models
Sep 17, 2024 · We conduct a disaggregated evaluation of cultural bias for five widely used large language models (OpenAI’s GPT-4o/4-turbo/4/3.5-turbo/3) by comparing the models’ …
Uncovering Cultural Biases and Stereotypes in Large Language Models
Dec 2, 2025 · Overall, this paper advances the understanding of how to audit and correct cultural bias in large language models (LLMs), thereby contributing toward more equitable and …
Cultural bias stems from various intertwined factors; the following analysis categorizes cultural bias shaping LLMs into three dimensions: data quality, algorithm design, and user interaction …
Bias and Fairness in Large Language Models: A Survey
2 days ago · Rapid advancements of large language models (LLMs) have enabled the processing, understanding, and generation of human-like text, with increasing integration into …
By analyzing case studies and reviewing recent developments in the field, this study aims to provide a nuanced understanding of how digital analysis and LLMs is reshaping scholarly …
Although vision-language models have demonstrated remarkable capabilities in digital heritage documentation, they exhibit persistent cultural biases that compromise equitable...
Mitigating Social Bias in Large Language Models: A Multi …
Dec 20, 2024 · In this paper, we propose a multi-objective approach within a multi-agent framework (MOMA) to mitigate social bias in LLMs without significantly compromising their …
My contributions aim to deepen our understanding of these biases and develop methodologies to mitigate them, enhancing the fairness and utility of LLMs across diverse global applications.
Disentangling Linguistic and Cultural Biases in Large Language Models ...
Jun 10, 2025 · Large Language Models (LLMs) are rapidly becoming ubiquitous tools for communication, research, and decision-making across disciplines and industries. However, …
Do Multilingual Large Language Models Mitigate Stereotype Bias?
4 days ago · To ensure robust evaluation, standard bias benchmarks were automatically translated into the five target languages and verified for both translation quality and bias …