For Summer 2022, I'll be heading to Roblox to work on Speech-to-Speech translation!
My current research deals with language modeling, human detection of generated text, machine translation, question generation, and sentence-level formality estimation.
My long term goal is to understand the implications and limitations of scale in large language mdoeling.
|[May 2022]||A Short Paper w/ collaborators at Google "The Case for a Single Model that can Both Generate Continuations and Fill in the Blank" was accepted to NAACL 2022|
|[Mar 2022]||My Short Paper "A Feasibility Study of Answer-Agnostic Question generation for education" was accepted to Findings of ACL 2022|
|[Jan 2022]||I gave a mini talk at Penn's weekly CLUNCH seminar on the detectability of human-machine text boundaries|
The Case for a Single Model that can Both Generate Continuations and Fill in the Blank
Daphne Ippolito, Liam Dugan, Emily Reif, Ann Yuan, Andy Coenen, Chris Callison-Burch
NAACL 2022 (Short Papers)
A Feasibility Study of Answer-Agnostic Question Generation for Education
Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, Dayheon Choi, Chuning Yuan, Chris Callison-Burch
Findings of ACL 2022 (Short Papers)
Learning Formality from Japanese-English Parallel Corpora
RoFT: A Tool for Evaluating Human Detection of Machine Generated Text
Liam Dugan*, Daphne Ippolito*, Arun Kirubarajan*, Chris Callison-Burch
EMNLP 2020 (Demo Track)
Cloud Chaser: Real Time Deep Learning Computer Vision on Low Computing Power Devices
Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane