Liam Dugan

According to our database, Liam Dugan authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models.

Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch

CoRR, 2024

2023

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck.

Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch

CoRR, 2023

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications.

Andrew Zhu, Liam Dugan, Alyssa Hwang, Chris Callison-Burch

CoRR, 2023

Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models.

Liam Dugan, Anshul Wadhawan, Kyle Spence, Chris Callison-Burch, Morgan McGuire, Victor B. Zordan

CoRR, 2023

Exploring the Curious Case of Code Prompts.

Li Zhang, Liam Dugan, Hainiu Xu, Chris Callison-Burch

CoRR, 2023

Enhancing Human Summaries for Question-Answer Generation in Education.

Hannah Gonzalez, Liam Dugan, Eleni Miltsakaki, Zhiqi Cui, Jiaxuan Ren, Bryan Li, Shriyash Upadhyay, Etan Ginsberg, Chris Callison-Burch

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text.

Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Sherry Shi, Chris Callison-Burch

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

CoRR, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Feasibility Study of Answer-Unaware Question Generation for Education.

Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, DaHyeon Choi, Chuning Yuan, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text.

Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Chris Callison-Burch

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2018

Cloud Chaser: real time deep learning computer vision on low computing power devices.

Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane

Proceedings of the Eleventh International Conference on Machine Vision, 2018