Koyena Pal
PhD Student
Research interests
- Interpretable AI
- Natural language processing
- AI
- Human-computer interaction
Education
- MS in Computer Science, Brown University
- BS in Computer Science, Brown University
Biography
Koyena Pal is a PhD student at the Khoury College of Computer Sciences at Northeastern University. She earned both her bachelor’s and master’s degrees in computer science from Brown University. Pal is affiliated with the Interpretable Neural Networks Lab (BauLab), Northeastern’s PhD Women’s Group, and Brown University’s Women’s Launch Pad.
Her research area is interpretable AI, and her faculty advisor is Dr. David Bau. Pal has received the Brown CS Scholarship for Richard Tapia Conference and the Top 3 Best Student Paper Award at the IEEE 18th HASE Conference.
Outside of research, she enjoys listening to music in different languages.
Recent publications
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Agents of Chaos
Citation: Natalie Shapira, Chris Wendler, Avery Yen, Gabriele Sarti, Koyena Pal, Olivia Floody, Adam Belfki, Alexander R. Loftus, Aditya Ratan Jannali, Nikhil Prakash, Jasmine Cui, Giordano Rogers, Jannik Brinkmann, Can Rager, Amir Zur, Michael Ripa, Aruna Sankaranarayanan, David Atkinson, Rohit Gandikota, Jaden Fiotto-Kaufman, EunJeong Hwang, Hadas Orgad, P. Sam Sahil, Negev Taglicht, Tomer Shabtay, Atai Ambus, Nitay Alon, Shiri Oron, Ayelet Gordon-Tapiero, Yotam Kaplan, Vered Shwartz, Tamar Rott Shaham, Christoph Riedl, Reuth Mirsky, Maarten Sap, David Manheim, Tomer Ullman, David Bau. (2026). Agents of Chaos CoRR, abs/2602.20021. https://doi.org/10.48550/arXiv.2602.20021 -
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals
Citation: Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell , Byron C. Wallace, David Bau. (2025). NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals ICLR. https://openreview.net/forum?id=MxbEiFRf39 -
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State
Citation: Pal, K., Sun, J., Yuan, A., Wallace, B.C., & Bau, D. (2023). Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. ArXiv, abs/2311.04897.
