Unveiling Bias Across Languages in Large Language Models

This ArXiv paper likely delves into the critical issue of bias in multilingual LLMs, a crucial area for fairness and responsible AI development. The study probably examines how biases present in training data manifest differently across various languages, which is essential for understanding the limitations of LLMs.