Koyena Pal

According to our database, Koyena Pal authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Transfer Learning from Foundational Optimization Embeddings to Unsupervised SAT Representations.

Koyena Pal, Serdar Kadioglu

CoRR, April, 2026

Agents of Chaos.

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 D. Ullman, David Bau

CoRR, February, 2026

Do explanations generalize across large reasoning models?

Koyena Pal, David Bau, Chandan Singh

CoRR, January, 2026

2025

Internal states before wait modulate reasoning patterns.

Dmitrii Troitskii, Koyena Pal, Chris Wendler, Callum McDougall, Neel Nanda

CoRR, October, 2025

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Internal states before wait modulate reasoning patterns.

Dmitrii Troitskii, Koyena Pal, Chris Wendler, Callum McDougall

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Model Lakes.

Koyena Pal, David Bau, Renée J. Miller

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability.

Aaron Mueller, Jannik Brinkmann, Millicent L. Li, Samuel Marks, Koyena Pal, Nikhil Prakash, Can Rager, Aruna Sankaranarayanan, Arnab Sen Sharma, Jiuding Sun, Eric Todd, David Bau, Yonatan Belinkov

CoRR, 2024

NNsight and NDIF: Democratizing Access to Foundation Model Internals.

Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau

CoRR, 2024

ALT-GEN: Benchmarking Table Union Search using Large Language Models.

Koyena Pal, Aamod Khatiwada, Roee Shraga, Renée J. Miller

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023

Generative Benchmark Creation for Table Union Search.

Koyena Pal, Aamod Khatiwada, Roee Shraga, Renée J. Miller

CoRR, 2023

Neural Summarization of Electronic Health Records.

Koyena Pal, Seyed Ali Bahrainian, Laura Mercurio, Carsten Eickhoff

CoRR, 2023

Future Lens: Anticipating Subsequent Tokens from a Single Hidden State.

Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2017

Effectiveness of Association Rules Mining for Invariants Generation in Cyber-Physical Systems.

Koyena Pal, Sridhar Adepu, Jonathan Goh

Proceedings of the 18th IEEE International Symposium on High Assurance Systems Engineering, 2017