Advising

I’ve had the pleasure of working with some amazing students and interns.

• Jack Merullo, Ai2 intern & PhD student at Brown University. paper
• Alec Bunn, undergraduate student at the University of Washington
• Shramay Palta, PhD student at the University of Maryland. paper
• Peter Hase, Ai2 intern & PhD student at UNC Chapel Hill. paper
• Joris Baan, Ai2 intern & PhD student at the University of Amsterdam
• Matthew Finlayson, predoctoral researcher at Ai2. paper
• Anshita Gupta, Master’s student at UMass Amherst. paper
• Debanjan Mondal, Master’s student at UMass Amherst. paper
• Akshay Krishna Sheshadri, Master’s student at UMass Amherst. paper
• Kaige Xie, PhD student at Georgia Tech. paper
• Xiangyu Peng, PhD student at Georgia Tech. paper
• Siyan Li, undergraduate student at Georgia Tech. paper

Teaching

• Tutorial at NAACL 2024 on “Explanations in the Era of Large Language Models”. See our website (including the slides & recording) here: https://explanation-llm.github.io/.
• Guest Lecture (“Towards Transparent Language Models”) in the graduate Large Language Models course at Washington University in St. Louis, Spring 2024.
• Assistant for Georgia Tech CS 7643 Natural Language Processing (grad), Fall 2021. 90 students.
• Assistant for Georgia Tech CS 4803/7643 Deep Learning (undergrad/grad), Spring 2021. 170 students.
• Assistant for Georgia Tech CS 4803/7643 Deep Learning (undergrad/grad), Fall 2019. 215 students. Pushed to include content on Transformers, gave the inaugural course lecture on the topic, and created an associated coding assignment from scratch. Student feedback was positive.
• Assistant for Georgia Tech CS 4641 Machine Learning (undergrad), Spring 2019. 110 students.