Hila Gonen

I am a postdoctoral Researcher at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. My research interests lie in the intersection of Natural Language Processing, Machine Learning and Artificial Intelligence. In my research I work towards two main goals: (1) making cutting-edge language technology available and fair across speakers of different languages and users of different socio-demographic groups; (2) developing algorithms and methods for controlling the model’s behavior.

Before joining UW, I was a postdoctoral researcher at Meta AI and at Amazon. Prior to that I did my Ph.D in Computer Science at the NLP lab at Bar Ilan University. I obtained my Ms.C. in Coputer Science from the Hebrew University.

Recent Updates

August 2024 - Our new paper Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models is now available on arXiv

October 2023 - Our paper Demystifying Prompts in Language Models via Perplexity Estimation is accepted at Findings of EMNLP (with a few more papers as well)

August 2023 - Women’s Postdoctoral Career Development Award in Science (Weitzmann Institute of Science)

January 2023 - Best Doctoral Dissertation Award Runner Up, Israeli Association for Artificial Intelligence (IAAI)

December 2022 - Our new paper Demystifying Prompts in Language Models via Perplexity Estimation is now available on arXiv

October 2022 - Excited to receive the EECS Rising Stars award, attended the workshop at UT Austin

May 2022 - We are honored to get the Best Paper award at the RepL4NLP workshop for our paper “Analyzing Gender Representation in Multilingual Models”