Papers
Findings of the WMT 2025 Shared Task LLMs with Limited Resources for Slavic Languages: MT and QA
Shu Okabe, Daryna Dementieva, Marion Di Marco et al.
Findings of the WMT 2025 Shared Task of the Open Language Data Initiative
David Dale, Laurie Burchell, Jean Maillard et al.
Findings of the WMT 2025 Shared Task on Model Compression: Early Insights on Compressing LLMs for Machine Translation
Marco Gaido, Roman Grundkiewicz, Thamme Gowda et al.
Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help
Alon Lavie, Greg Hanneman, Sweta Agrawal et al.
Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation
Tom Kocmi, Sweta Agrawal, Ekaterina Artemova et al.
Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets
Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis et al.
A Cross-Lingual Perspective on Neural Machine Translation Difficulty
Esther Ploeger, Johannes Bjerva, Jörg Tiedemann et al.
Implementing and Evaluating Multi-source Retrieval-Augmented Translation
Tommi Nieminen, Jörg Tiedemann, Sami Virpioja
GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics
George Filandrianos, Orfeas Menis Mastromichalakis, Wafaa Mohammed et al.
SONAR-SLT: Multilingual Sign Language Translation via Language-Agnostic Sentence Embedding Supervision
Yasser Hamidullah, Shakib Yazdani, Cennet Oguz et al.
DocHPLT: A Massively Multilingual Document-Level Translation Dataset
Dayyán O’Brien, Bhavitvya Malik, Ona de Gibert et al.
Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
Behzad Shayegh, Jan-Thorsten Peter, David Vilar et al.
Translate, Then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification
Samuel Bell, Eduardo Sánchez, David Dale et al.
Using Encipherment to Isolate Conditions for the Successful Fine-tuning of Massively Multilingual Translation Models
Carter Louchheim, Denis Sotnichenko, Yukina Yamaguchi et al.
Self-Retrieval from Distant Contexts for Document-Level Machine Translation
Ziqian Peng, Rachel Bawden, François Yvon
Targeted Source Text Editing for Machine Translation: Exploiting Quality Estimators and Large Language Models
Hyuga Koretaka, Atsushi Fujita, Tomoyuki Kajiwara
DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment
Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes et al.
Character-Aware English-to-Japanese Translation of Fictional Dialogue Using Speaker Embeddings and Back-Translation
Ayuna Nagato, Takuya Matsuzaki
Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain
Jonathan Mutal, Raphael Rubino, Pierrette Bouillon
OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages
Raphael Merx, Hanna Suominen, Trevor Cohn et al.
Specification-Aware Machine Translation and Evaluation for Purpose Alignment
Yoko Kayano, Saku Sugawara
GIIFT: Graph-guided Inductive Image-free Multimodal Machine Translation
Jiafeng Xiong, Yuting Zhao
Meaningful Pose-Based Sign Language Evaluation
Zifan Jiang, Colin Leong, Amit Moryossef et al.
Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality
Sami Haq, Sheila Castilho, Yvette Graham