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
Posts by Collection
portfolio
publications
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
Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck
ArXiv | October 2023
Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, and Chris Callison-Burch
FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models
ACL (Short Papers) | February 2024
Andrew Zhu, Alyssa Hwang, Liam Dugan, and Chris Callison-Burch
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
ACL (Long Papers) | May 2024
Liam Dugan, Alyssa Hwang, Filip Trhlik, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
EMNLP (System Demonstrations) | August 2024
Andrew Zhu, Liam Dugan, Chris Callison-Burch
MiRAGeNews: Multimodal Realistic AI-Generated News Detection
Findings of EMNLP | October 2024
Runsheng Huang, Liam Dugan, Yue Yang, Chris Callison-Burch
GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge
GenAI Content Detection Workshop @ COLING | January 2025
Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection
ICML (In submission) | February 2025
Minseok Jung, Cynthia Fuertes Panizo, Liam Dugan, Pin-Yu Chen, Paul Pu Liang
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
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
ACL 2024 | Bangkok, Thailand | August 2024
GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge
GenAI Content Detection Workshop @ COLING 2025 | Abu Dhabi, UAE | January 2025
Stylistic Signatures of LLMs and How to Detect Them
UPenn Integrated Language Science and Technology (ILST) Seminar | Philadelphia, PA | February 2025
Progress Towards Robust and Deployable AI Detectors in the Real World
Stanford University Hoover Institute | Palo Alto, CA | February 2025
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