Marine Carpuat
Professor
Develops machine translation and multilingual NLP methods that help people communicate across languages, including interactive and trustworthy translation.
Marine Carpuat's lab at UMD works on multilingual, translation & linguistics, interpretability, evaluation & safety of LMs and trustworthy & safe ML. 40 papers since 2023, 20 at top venues, mostly EMNLP and ACL. 5 PhD students and 1 master's student. 8 alumni, most often to Amazon and Google.
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 50%
- PhD students
- 5
- MS students
- 1
- alumni listed
- 8
Papers by yearfrom DBLP, 2023–2026
- 8 papers2026 · T1 2 · collecting
- 11 papers2025 · T1 7
- 11 papers2024 · T1 4
- 10 papers2023 · T1 7
T1 venuesOtherVenues: EMNLP, ACL, Findings of ACL, NAACL, EACL
Research focuspaper titles that use each topic's words
- Multilingual, translation & linguistics17 papers
- translation16 papers
- Interpretability, evaluation & safety of LMs4 papers
- Trustworthy & safe ML0 papers
- multilingual nlp0 papers
Paper list
From DBLP.
20268 papers
- ACL (T1)Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style (opens in a new tab)
- EACLCan you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMs (opens in a new tab)
- EAMTDoes Speech Translation Meet Users' Needs? An English to Portuguese Study Across Demographics (opens in a new tab)
- ACL (T1)Measuring User's Mental Models of Speech Translation in Human-AI Collaboration (opens in a new tab)
- Findings of ACLReheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms (opens in a new tab)
- IWSLTSpeech Translation and Metrics in 2026: Findings of the IWSLT Campaign (opens in a new tab)
- Findings of ACLTake Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations (opens in a new tab)
- EACLVietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation (opens in a new tab)
202511 papers
- ICLR (T1)Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? (opens in a new tab)
- EMNLP (T1)An Interdisciplinary Approach to Human-Centered Machine Translation (opens in a new tab)
- Findings of ACLAskQE: Question Answering as Automatic Evaluation for Machine Translation (opens in a new tab)
- NAACL (T1)Automatic Input Rewriting Improves Translation with Large Language Models (opens in a new tab)
- MTSummitImproving MT-enabled Triage Performance with Multiple MT Outputs (opens in a new tab)
- ACL (T1)Multiple LLM Agents Debate for Equitable Cultural Alignment (opens in a new tab)
- EMNLP (T1)Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation (opens in a new tab)
- CHI (T1)Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use (opens in a new tab)
- EMNLP (T1)Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations (opens in a new tab)
- Findings of EMNLPWho's the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution (opens in a new tab)
- IUIWords as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work (opens in a new tab)
202411 papers
- NAACL (T1)AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages (opens in a new tab)
- CogSciAssessing Common Ground through Language-based Cultural Consensus in Humans and Large Language Models (opens in a new tab)
- LREC/COLINGAutomatic Authorship Analysis in Human-AI Collaborative Writing (opens in a new tab)
- Trans. Assoc. Comput. LinguisticsDo Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension (opens in a new tab)
- IWSLTFINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN (opens in a new tab)
- Findings of NAACLGuiding Large Language Models to Post-Edit Machine Translation with Error Annotations (opens in a new tab)
- Trans. Assoc. Comput. LinguisticsHow Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? (opens in a new tab)
- NAACL (T1)Keep it Private: Unsupervised Privatization of Online Text (opens in a new tab)
- Findings of EMNLPPlausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning (opens in a new tab)
- EMNLP (T1)SpeechQE: Estimating the Quality of Direct Speech Translation (opens in a new tab)
- ACL (T1)XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception (opens in a new tab)
202310 papers
- EMNLP (T1)A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation (opens in a new tab)
- Empir. Softw. Eng.An empirical assessment of machine learning approaches for triaging reports of static analysis tools (opens in a new tab)
- EMNLP (T1)Bridging Background Knowledge Gaps in Translation with Automatic Explicitation (opens in a new tab)
- EMNLP (T1)Controlling Pre-trained Language Models for Grade-Specific Text Simplification (opens in a new tab)
- EMNLP (T1)Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences (opens in a new tab)
- IWSLT@ACLFindings of the IWSLT 2023 Evaluation Campaign (opens in a new tab)
- EMNLP (T1)Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors (opens in a new tab)
- EMNLP (T1)Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators (opens in a new tab)
- Trans. Assoc. Comput. LinguisticsUnderstanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection (opens in a new tab)
- EMNLP (T1)What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems (opens in a new tab)
Where alumni went8 listed, 100% to industry
Industry 6Academia 0
Most often to
- Amazon
- Microsoft
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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