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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
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
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
Learning Formality from Japanese-English Parallel Corpora
Masters Theses | December 2020
Liam Dugan
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
Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models
Transactions on Machine Learning Research (TMLR) | June 2022
Aarohi Srivastava, Abhinav Rastogi, and (440 others)
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
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
Exploring the Curious Case of Code Prompts
NLRSE Workshop @ ACL | April 2023
Li Zhang*, Liam Dugan*, Hainiu Xu*, and Chris Callison-Burch
Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models
Interspeech | June 2023
Liam Dugan, Anshul Wadhawan, Kyle Spence, Chris Callison-Burch, Morgan McGuire, and Victor Zordan
Enhancing Human Summaries for Question-Answer Generation in Education
BEA Workshop @ ACL | June 2023
Hannah Gonzalez, Liam Dugan, Eleni Miltsakaki, Zhiqi Cui, Jiaxuan Ren, Bryan Li, Shriyash Upadhyay, Etan Ginsberg, and Chris Callison-Burch
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications
NLP-OSS Workshop @ EMNLP | September 2023
Andrew Zhu*, Liam Dugan*, Alyssa Hwang, and Chris Callison-Burch
talks
Todd The Inter-Dimensional Robot: PennApps XVI Presentation
University of Pennsylvania | Philadelphia, PA | September 2017
Cloud Chaser: PennApps XVII Presentation
University of Pennsylvania | Philadelphia, PA | January 2018
Scene++ VR: Senior Design Presentation
University of Pennsylvania | Philadelphia, PA | May 2019
Learning Formality from Japanese-English Parallel Corpora
University of Pennsylvania | Philadelphia, PA | December 2020
Introduction to Machine Learning and AI Research
St. Joseph's Prep High School | Philadelphia, PA | February 2022
Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text
AAAI 2023 | Washington, DC | February 2023
Detecting Generated Text from ChatGPT (and other LLMs)
Penn Critical Writing Seminar Panel | Virtual | February 2023
Should we still use Text for Speech-to-Speech Translation? Promise meets Practice
John's Hopkins HLTCOE Seminar | Baltimore, MD | May 2023
Exploring the Curious Case of Code Prompts
NLRSE Workshop @ ACL 2023 | Toronto, Canada | July 2023
teaching
CIS 2400: Intro to Computer Systems
Teaching Assistant, University of Pennsylvania, 2018
CIS 3800: Operating Systems
Head Teaching Assistant, University of Pennsylvania, 2019
CIS 5300: Computational Linguistics
Teaching Assistant, University of Pennsylvania, 2020
CIS 565: GPU Programming and Architecture
Teaching Assistant, University of Pennsylvania, 2021
CIS 700: Interactive Fiction and Text Generation
Teaching Assistant, University of Pennsylvania, 2022