Nicholas Tomlin
PhD Student
Berkeley EECS
nicholas_tomlin@berkeley.edu
2024
Efficacy of Language Model Self-Play in Non-Zero-Sum Games
Austen Liao, Nicholas Tomlin, Dan Klein. Preprint.
Autonomous Evaluation and Refinement of Digital Agents
Jiayi Pan, Yichi Zhang, Nicholas Tomlin, Yifei Zhou, Sergey Levine, Alane Suhr. COLM 2024.
Decision-Oriented Dialogue for Human-AI Collaboration
Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner. TACL 2024.
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein. NAACL 2024.
2023
Revisiting Entropy Rate Constancy in Text
Vivek Verma, Nicholas Tomlin, Dan Klein. Findings of EMNLP 2023.
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches
Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh. Findings of EMNLP 2023.
Neural Unsupervised Reconstruction of Protolanguage Word Forms
Andre He, Nicholas Tomlin, Dan Klein. ACL 2023.
2022
Automated Crossword Solving
Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew Ginsberg, and Dan Klein. ACL 2022.
Understanding Game-Playing Agents with Natural Language Annotations
Nicholas Tomlin, Andre He, and Dan Klein. ACL 2022.
This page contains work done during my PhD. Previous papers can be found on my Google Scholar.