Gal Yona
Gal Yona is a Research Scientist at Google Research, Tel Aviv, where she is working on improving factuality in large language models, with an emphasis on robustness and uncertainty. Before joining Google, Gal completed her PhD in Computer Science at the Weizmann Institute of Science, developing definitions and algorithms for preventing discrimination in machine learning models. Gal received numerous award during her PhD, including the Blavatnik Prizes for Outstanding Israeli Doctoral Students in Computer Science (2022) and the Google PhD Fellowship in Machine Learning (2021).
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Google
Useful Confidence Measures: Beyond the Max Score
NeurIPS 2022 Workshop on Distribution Shifts (DistShift) (2022) (to appear)
Active Learning with Label Comparisons
Shay Moran
Uncertainty in Artificial Intelligence (submitted) (2022)
