Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models
Transactions on Machine Learning Research (TMLR) | May 2023
Aarohi Srivastava, Abhinav Rastogi, and (440 others)
Publications
Exploring the Curious Case of Code Prompts
ArXiv | April 2023
Li Zhang*, Liam Dugan*, Hainiu Xu*, and Chris Callison-Burch
Real or Fake Text? Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text
AAAI (Long Papers) | February 2023
Liam Dugan*, Daphne Ippolito*, Arun Kirubarajan, Sherry Shi, and Chris Callison-Burch
The Case for a Single Model that can both Generate Continuations and Fill-in-the-Blank
Findings of NAACL (Short Papers) | June 2022
Daphne Ippolito, Liam Dugan, Emily Reif, Ann Yuan, Andy Coenen, and Chris Callison-Burch
A Feasibility Study of Answer-Agnostic Question Generation for Education
Findings of ACL (Short Papers) | March 2022
Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, DaHyeon Choi, Chuning Yuan, and Chris Callison-Burch
Learning Formality from Japanese-English Parallel Corpora
Masters Theses | December 2020
Liam Dugan
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text
EMNLP (System Demonstrations) | October 2020
Liam Dugan, Daphne Ippolito*, Arun Kirubarajan*, and Chris Callison-Burch
Cloud Chaser: Real Time Deep Learning Computer Vision on Low Computing Power Devices
ICMV | October 2018
Zhengyi Luo, Austin Small, Liam Dugan, and Stephen Lane