Yejin Bang

Examining social bias in machine learning, focusing on language, vision, and vision-language models.

A study that measures political bias in large language models through stance and framing.

A new approach to generate more informative captions for images.

This study examines how LLMs evaluate their own knowledge and risk of errors.