Eunsol Choi

Eunsol Choi is an Assistant Professor in the Computer Science department at New York University. She holds a Ph.D. in Computer Science from the University of Washington, where she was advised by Luke Zettlemoyer and Yejin Choi. Her research interests include natural language processing, machine learning, and artificial intelligence, with a focus on continual learning, knowledge editing, and human-LM interaction. She has also worked as a researcher at Google AI in NYC and as an assistant professor at the University of Texas at Austin. Her work explores how to improve the reliability and usability of language models in real-world applications.

Eunsol Choi is a researcher at New York University specializing in natural language processing and machine learning. Their work focuses on advancing question answering systems, reading comprehension, and information retrieval. Choi has developed benchmark datasets such as TriviaQA and QuAC, which are used to evaluate models in information-seeking tasks. They have also explored cross-lingual question answering, zero-shot relation extraction, and methods to improve retrieval-augmented language models. Their research addresses challenges in handling complex claims, fact-checking, and incorporating contextual and extra-linguistic information into machine comprehension tasks. Choi's contributions span both theoretical and applied aspects of NLP, with an emphasis on robust and generalizable models.