Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization
Tianxing He works with Yulia Tsvetkov on natural language generation. He works towards a better understanding of how the current large language models work. Related, he is interested in monitoring and detecting different behaviors of language models under different scenarios, and approaches to fix undesirable behaviors.
Fatemehsadat Mireshghallah works with Allen School professors Yejin Choi and Yulia Tsvetkov. Her research interests are Trustworthy Machine Learning and Natural Language Processing. She is a recipient of the National Center for Women & IT (NCWIT) Collegiate award in 2020, a finalist of the Qualcomm Innovation Fellowship in 2021 and a recipient of the 2022 Rising star in Adversarial ML award. She received her Ph.D. from the CSE department of UC San Diego in 2023.