| 2024 | ACL | A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism. | Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico |
| 2024 | ACL | Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains. | Vilm Zouhar, Shuoyang Ding, Anna Currey, Tatyana Badeka, Jenyuan Wang, Brian Thompson |
| 2023 | EACL | Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions. | Cuong Hoang, Devendra Sachan, Prashant Mathur, Brian Thompson, Marcello Federico |
| 2023 | EMNLP | End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation. | Juan Pablo Zuluaga-Gomez, Zhaocheng Huang, Xing Niu, Rohit Paturi, Sundararajan Srinivasan, Prashant Mathur, Brian Thompson, Marcello Federico |
| 2023 | Interspeech | Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters. | Proyag Pal, Brian Thompson, Yogesh Virkar, Prashant Mathur, Alexandra Chronopoulou, Marcello Federico |
| 2020 | ACL | ParaCrawl: Web-Scale Acquisition of Parallel Corpora. | Marta Ban, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Espl-Gomis, Mikel L. Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, Sergio Ortiz-Rojas, Leopoldo Pla Sempere, Gema Ramrez-Snchez, Elsa Sarras, Marek Strelec, Brian Thompson, William Waites, Dion Wiggins, Jaume Zaragoza |
| 2020 | EMNLP | Simulated multiple reference training improves low-resource machine translation. | Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn |
| 2020 | EMNLP | Exploiting Sentence Order in Document Alignment. | Brian Thompson, Philipp Koehn |
| 2020 | EMNLP | Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing. | Brian Thompson, Matt Post |
| 2020 | LREC | Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages. | Kevin Duh, Paul McNamee, Matt Post, Brian Thompson |
| 2019 | EMNLP | Vecalign: Improved Sentence Alignment in Linear Time and Space. | Brian Thompson, Philipp Koehn |
| 2019 | EMNLP | HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation. | Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn |
| 2019 | NAACL | Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation. | Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, Philipp Koehn |
| 2018 | FIE | Evolving a Data Structures Class Toward Inclusive Success. | Celine Latulipe, Stephen MacNeil, Brian Thompson |
| 2017 | ACL | Implicitly-Defined Neural Networks for Sequence Labeling. | Michaeel Kazi, Brian Thompson |
| 2015 | ICDM | Efficient and Time Scale-Invariant Detection of Correlated Activity in Communication Networks. | Brian Thompson, James Abello |
| 2015 | ICDM | Discovering Functional Communities in Social Media. | Brian Thompson, Linda Ness, David Shallcross, Devasis Bassu |
| 2014 | WWW | Modeling collaboration in academia: a game theoretic approach. | Qiang Ma, S. Muthukrishnan, Brian Thompson, Graham Cormode |
| 2014 | SC | Comparing a high and low-level deep neural network implementation for automatic speech recognition. | Jessica Ray, Brian Thompson, Wade Shen |
| 2012 | WSDM | The early bird gets the buzz: detecting anomalies and emerging trends in information networks. | Brian Thompson |
| 2011 | HCI | Effective Shift Handover. | Thomas Plocher, Shanqing Yin, Jason C. Laberge, Brian Thompson, Jason Telner |
| 2010 | CCS | Towards publishing recommendation data with predictive anonymization. | Chih-Cheng Chang, Brian Thompson, Wendy Hui Wang, Danfeng Yao |
| 2009 | CCS | The union-split algorithm and cluster-based anonymization of social networks. | Brian Thompson, Danfeng Yao |