| 2026 | ACL | Take Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations. | Christabel Acquaye, Yi Ting Huang, Marine Carpuat, Rachel Rudinger |
| 2026 | ACL | Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style. | Connor Baumler, Calvin Bao, Huy Nghiem, Xinchen Yang, Marine Carpuat, Hal Daum III |
| 2026 | ACL | Measuring User's Mental Models of Speech Translation in Human-AI Collaboration. | Hyojung Han, Nishant Balepur, Jordan Lee Boyd-Graber, Marine Carpuat |
| 2026 | ACL | Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms. | Dayeon Ki, Yu Hou, Rachel Rudinger, Hal Daum III, Marine Carpuat, Fumeng Yang |
| 2026 | EACL | Can you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMs. | Kartik Ravisankar, HyoJung Han, Sarah Wiegreffe, Marine Carpuat |
| 2026 | EACL | VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation. | Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, Quang-Nhan Nguyen, Wei Ai, Marine Carpuat |
| 2026 | EAMT | Does Speech Translation Meet Users' Needs? An English to Portuguese Study Across Demographics. | Giuseppe Attanasio, Beatrice Savoldi, Daniel Chechelnitsky, Matteo Negri, Marine Carpuat, Andr Filipe Torres Martins |
| 2025 | ACL | AskQE: Question Answering as Automatic Evaluation for Machine Translation. | Dayeon Ki, Kevin Duh, Marine Carpuat |
| 2025 | ACL | Multiple LLM Agents Debate for Equitable Cultural Alignment. | Dayeon Ki, Rachel Rudinger, Tianyi Zhou, Marine Carpuat |
| 2025 | CHI | Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use. | Yimin Xiao, Cartor Hancock, Sweta Agrawal, Nikita Mehandru, Niloufar Salehi, Marine Carpuat, Ge Gao |
| 2025 | EMNLP | Who's the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution. | Calvin Bao, Connor Baumler, Hal Daum III, Marine Carpuat |
| 2025 | EMNLP | An Interdisciplinary Approach to Human-Centered Machine Translation. | Marine Carpuat, Omri Asscher, Kalika Bali, Luisa Bentivogli, Frdric Blain, Lynne Bowker, Monojit Choudhury, Hal Daum III, Kevin Duh, Ge Gao, Alvin Grissom II, Marzena Karpinska, Elaine C. Khoong, William D. Lewis, Andr F. T. Martins, Mary Nurminen, Douglas W. Oard, Maja Popovic, Michel Simard, Franois Yvon |
| 2025 | EMNLP | Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation. | Dayeon Ki, Kevin Duh, Marine Carpuat |
| 2025 | EMNLP | Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations. | Yimin Xiao, Yongle Zhang, Dayeon Ki, Calvin Bao, Marianna J. Martindale, Charlotte Vaughn, Ge Gao, Marine Carpuat |
| 2025 | ICLR | Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? | HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah |
| 2025 | IUI | Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work. | Calvin Bao, Yow-Ting Shiue, Marine Carpuat, Joel Chan |
| 2025 | NAACL | Automatic Input Rewriting Improves Translation with Large Language Models. | Dayeon Ki, Marine Carpuat |
| 2024 | ACL | XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception. | HyoJung Han, Mohamed Anwar, Juan Pino, Wei-Ning Hsu, Marine Carpuat, Bowen Shi, Changhan Wang |
| 2024 | CogSci | Assessing Common Ground through Language-based Cultural Consensus in Humans and Large Language Models. | Sophie Domanski, Rachel Rudinger, Marine Carpuat, Patrick Shafto, Yi Ting Huang |
| 2024 | COLING | Automatic Authorship Analysis in Human-AI Collaborative Writing. | Aquia Richburg, Calvin Bao, Marine Carpuat |
| 2024 | EMNLP | SpeechQE: Estimating the Quality of Direct Speech Translation. | HyoJung Han, Kevin Duh, Marine Carpuat |
| 2024 | EMNLP | Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. | Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger |
| 2024 | NAACL | Keep it Private: Unsupervised Privatization of Online Text. | Calvin Bao, Marine Carpuat |
| 2024 | NAACL | Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations. | Dayeon Ki, Marine Carpuat |
| 2024 | NAACL | AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages. | Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Tosin P. Adewumi, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Njoroge Kiragu, Eric Muchiri, Wangari Kimotho, Sakayo Toadoum Sari, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Ochieng', Verrah Otiende, Chinedu E. Mbonu, Yao Lu, Pontus Stenetorp |
| 2023 | EMNLP | Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. | Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daum III, Marine Carpuat |
| 2023 | EMNLP | Controlling Pre-trained Language Models for Grade-Specific Text Simplification. | Sweta Agrawal, Marine Carpuat |
| 2023 | EMNLP | Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences. | Eleftheria Briakou, Navita Goyal, Marine Carpuat |
| 2023 | EMNLP | What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems. | Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daum III |
| 2023 | EMNLP | Bridging Background Knowledge Gaps in Translation with Automatic Explicitation. | HyoJung Han, Jordan L. Boyd-Graber, Marine Carpuat |
| 2023 | EMNLP | Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors. | Nikita Mehandru, Sweta Agrawal, Yimin Xiao, Ge Gao, Elaine C. Khoong, Marine Carpuat, Niloufar Salehi |
| 2023 | EMNLP | A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. | Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daum III |
| 2022 | ACL | An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models. | Sweta Agrawal, Marine Carpuat |
| 2022 | ACL | Can Synthetic Translations Improve Bitext Quality? | Eleftheria Briakou, Marine Carpuat |
| 2022 | COLING | Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization. | Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galusckov, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas W. Oard, Kathleen R. McKeown |
| 2022 | EMNLP | SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering. | HyoJung Han, Marine Carpuat, Jordan L. Boyd-Graber |
| 2022 | EMNLP | Data Cartography for Low-Resource Neural Machine Translation. | Aquia Richburg, Marine Carpuat |
| 2021 | ACL | A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. | Sweta Agrawal, Weijia Xu, Marine Carpuat |
| 2021 | ACL | Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation. | Eleftheria Briakou, Marine Carpuat |
| 2021 | ACL | How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? | Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat |
| 2021 | CHI | Leveraging Machine Translation to Support Distributed Teamwork Between Language-Based Subgroups: The Effects of Automated Keyword Tagging. | Yongle Zhang, Dennis Asamoah Owusu, Emily Gong, Shaan Chopra, Marine Carpuat, Ge Gao |
| 2021 | EMNLP | Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. | Eleftheria Briakou, Sweta Agrawal, Joel R. Tetreault, Marine Carpuat |
| 2021 | EMNLP | Rule-based Morphological Inflection Improves Neural Terminology Translation. | Weijia Xu, Marine Carpuat |
| 2020 | AAAI | Controlling Neural Machine Translation Formality with Synthetic Supervision. | Xing Niu, Marine Carpuat |
| 2020 | AMTA | The Impact of Sentence Alignment Errors on Phrase-Based Machine Translation Performance. | Cyril Goutte, Marine Carpuat, George F. Foster |
| 2020 | EMNLP | Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank. | Eleftheria Briakou, Marine Carpuat |
| 2020 | EMNLP | Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation. | Weijia Xu, Xing Niu, Marine Carpuat |
| 2019 | EMNLP | Controlling Text Complexity in Neural Machine Translation. | Sweta Agrawal, Marine Carpuat |
| 2019 | EMNLP | Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation. | Yogarshi Vyas, Marine Carpuat |
| 2019 | ICST | An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool. | Ugur Koc, Shiyi Wei, Jeffrey S. Foster, Marine Carpuat, Adam A. Porter |
| 2019 | NAACL | Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation. | Xing Niu, Weijia Xu, Marine Carpuat |
| 2019 | NAACL | Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. | Weijia Xu, Xing Niu, Marine Carpuat |
| 2019 | NAACL | Curriculum Learning for Domain Adaptation in Neural Machine Translation. | Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh |
| 2018 | AMTA | Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. | Marianna J. Martindale, Marine Carpuat |
| 2018 | COLING | Multi-Task Neural Models for Translating Between Styles Within and Across Languages. | Xing Niu, Sudha Rao, Marine Carpuat |
| 2018 | NAACL | Robust Cross-Lingual Hypernymy Detection Using Dependency Context. | Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth |
| 2018 | NAACL | Identifying Semantic Divergences in Parallel Text without Annotations. | Yogarshi Vyas, Xing Niu, Marine Carpuat |
| 2017 | EMNLP | A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output. | Xing Niu, Marianna J. Martindale, Marine Carpuat |
| 2016 | ACL | Learning Monolingual Compositional Representations via Bilingual Supervision. | Ahmed Elgohary, Marine Carpuat |
| 2016 | NAACL | Retrofitting Sense-Specific Word Vectors Using Parallel Text. | Allyson Ettinger, Philip Resnik, Marine Carpuat |
| 2016 | NAACL | Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment. | Yogarshi Vyas, Marine Carpuat |
| 2014 | ACL | Assessing the Discourse Factors that Influence the Quality of Machine Translation. | Junyi Jessy Li, Marine Carpuat, Ani Nenkova |
| 2014 | COLING | Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system. | Junyi Jessy Li, Marine Carpuat, Ani Nenkova |
| 2013 | ACL | SenseSpotting: Never let your parallel data tie you to an old domain. | Marine Carpuat, Hal Daum III, Katharine Henry, Ann Irvine, Jagadeesh Jagarlamudi, Rachel Rudinger |
| 2010 | ACL | Improving Arabic-to-English Statistical Machine Translation by Reordering Post-Verbal Subjects for Alignment. | Marine Carpuat, Yuval Marton, Nizar Habash |
| 2010 | NAACL | Task-based Evaluation of Multiword Expressions: a Pilot Study in Statistical Machine Translation. | Marine Carpuat, Mona T. Diab |
| 2009 | NAACL | One Translation Per Discourse. | Marine Carpuat |
| 2008 | LREC | Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation. | Marine Carpuat, Dekai Wu |
| 2007 | EMNLP | Improving Statistical Machine Translation Using Word Sense Disambiguation. | Marine Carpuat, Dekai Wu |
| 2005 | ACL | Word Sense Disambiguation vs. Statistical Machine Translation. | Marine Carpuat, Dekai Wu |
| 2005 | IJCNLP | Evaluating the Word Sense Disambiguation Performance of Statistical Machine Translation. | Marine Carpuat, Dekai Wu |
| 2004 | ACL | A Kernel PCA Method for Superior Word Sense Disambiguation. | Dekai Wu, Weifeng Su, Marine Carpuat |
| 2004 | COLING | Semi-supervised training of a Kernel PCA-Based Model for Word Sense Disambiguation. | Weifeng Su, Marine Carpuat, Dekai Wu |
| 2004 | COLING | Why Nitpicking Works: Evidence for Occam's Razor in Error Correctors. | Dekai Wu, Grace Ngai, Marine Carpuat |
| 2004 | IJCNLP | NTPC: N-fold Templated Piped Correction. | Dekai Wu, Grace Ngai, Marine Carpuat |
| 2004 | LREC | Raising the Bar: Stacked Conservative Error Correction Beyond Boosting. | Dekai Wu, Grace Ngai, Marine Carpuat |
| 2004 | NAACL | Using N-best lists for Named Entity Recognition from Chinese Speech. | Lu-Feng Zhai, Pascale Fung, Richard M. Schwartz, Marine Carpuat, Dekai Wu |
| 2003 | CoNLL | A Stacked, Voted, Stacked Model for Named Entity Recognition. | Dekai Wu, Grace Ngai, Marine Carpuat |
| 2002 | COLING | Identifying Concepts Across Languages: A First Step towards a Corpus-based Approach to Automatic Ontology Alignment. | Grace Ngai, Marine Carpuat, Pascale Fung |
| 2002 | CoNLL | Boosting for Named Entity Recognition. | Dekai Wu, Grace Ngai, Marine Carpuat, Jeppe Larsen, Yongsheng Yang |