| 2026 | EACL | Toward Beginner-Friendly LLMs for Language Learning: Controlling Difficulty in Conversation. | Meiqing Jin, Liam Dugan, Chris Callison-Burch |
| 2025 | COLING | GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge. | Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch |
| 2024 | ACL | RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. | Liam Dugan, Alyssa Hwang, Filip Trhlk, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch |
| 2024 | ACL | FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models. | Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch |
| 2024 | EMNLP | MiRAGeNews: Multimodal Realistic AI-Generated News Detection. | Runsheng Huang, Liam Dugan, Yue Yang, Chris Callison-Burch |
| 2024 | EMNLP | ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems. | Andrew Zhu, Liam Dugan, Chris Callison-Burch |
| 2023 | AAAI | 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 |
| 2023 | Interspeech | 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 |
| 2022 | ACL | 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 |
| 2022 | NAACL | 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 |
| 2020 | EMNLP | RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text. | Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Chris Callison-Burch |
| 2018 | ICMV | Cloud Chaser: real time deep learning computer vision on low computing power devices. | Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane |