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Future Blog Post

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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

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

Liam Dugan

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