HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models
Proceedings of the Fifteenth Language Resources and Evaluation Conference· 2026
Stephan Oepen and Nikolay Arefev and Mikko Aulamo and Marta Bañón and Maja Buljan and Laurie Burchell and Lucas Charpentier and Pinzhen Chen and Mariya Fedorova and Ona de Gibert and Barry Haddow and Jan Hajič and Jindřich Helcl and Andrey Kutuzov and Ver
Abstractive Event Analysis of Armed Conflicts: Introducing the UCDP-AEC Dataset
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops· 2025
Étienne Simon, Helene Bøsei Olsen, Ramón Carreño, Rahul Mishra, Nikolay Arefyev, Mert Can Yilmaz, Lilja Øvrelid, Erik Velldal
An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)· 2025DOI Laurie Burchell; Ona de Gibert; Nikolay Arefyev; Mikko Aulamo; Marta Bañón; Pinzhen Chen; Mariia Fedorova; Liane Guillou; Barry Haddow; Jan Hajic; Jindrich Helcl; Erik Henriksson; Mateusz Klimaszewski; Ville Komulainen; Andrey Kutuzov; Joona Kytöniemi; Veronika Laippala; Petter Mæhlum; Bhavitvya Malik; Farrokh Mehryary; Vladislav Mikhailov; Nikita Moghe; Amanda Myntti; Dayyán O'Brien; Stephan Oepen; Proyag Pal; Jousia Piha; Sampo Pyysalo; Gema Ramírez-Sánchez; David Samuel; Pavel Stepachev; Jörg Tiedemann; Dusan Varis; Tereza Vojtechová; Jaume Zaragoza-Bernabeu
DocHPLT: A Massively Multilingual Document-Level Translation Dataset
Proceedings of the Tenth Conference on Machine Translation· 2025DOI Dayyán O’Brien, Bhavitvya Malik, Ona de Gibert, Pinzhen Chen, Barry Haddow, Jörg Tiedemann
Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas
Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)· 2025DOI Ona De Gibert, Robert Pugh, Ali Marashian, Raul Vazquez, Abteen Ebrahimi, Pavel Denisov, Enora Rice, Edward Gow-Smith, Juan Prieto, Melissa Robles, Rubén Manrique, Oscar Moreno, Angel Lino, Rolando Coto-Solano, Aldo Alvarez, Marvin Agüero-Torales, John E. Ortega, Luis Chiruzzo, Arturo Oncevay, Shruti Rijhwani, Katharina Von Der Wense, Manuel Mager
Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets
Proceedings of the Tenth Conference on Machine Translation· 2025DOI Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, Rachel Bawden, Ondřej Bojar, Konstantin Dranch, Anton Dvorkovich, Sergey Dukanov, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Marzena Karpinska, Philipp Koehn, Howard Lakougna, Jessica Lundin, Christof Monz, Kenton Murray, Masaaki Nagata, Stefano Perrella, Lorenzo Proietti, Martin Popel, Maja Popović, Parker Riley, Mariya Shmatova, Steinthór Steingrímsson, Lisa Yankovskaya, Vilém Zouhar
Fine-Tuning Large Language Models with Sequential Instructions
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)· 2025DOI Hanxu Hu, Simon Yu, Pinzhen Chen, Edoardo Ponti
FinerWeb-10BT: Refining Web Data with LLM-Based Line-Level Filtering
Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)· 2025
Erik Henriksson, Otto Tarkka, Filip Ginter
Got Compute, but No Data: Lessons From Post-training a Finnish LLM
: Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)· 2025
Elaine Zosa, Ville Komulainen, Sampo Pyysalo
HPLT’s Second Data Release
Proceedings of Machine Translation Summit XX: Volume 2· 2025
Nikolay Arefyev, Mikko Aulamo, Marta Bañón, Laurie Burchell, Pinzhen Chen, Mariia Fedorova, Ona de Gibert, Liane Guillou, Barry Haddow, Jan Hajič, Jindřich Helcl, Erik Henriksson, Andrey Kutuzov, Veronika Laippala, Bhavitvya Malik, Farrokh Mehryary, Vladi
Mind the Gap: Diverse NMT Models for Resource-Constrained Environments
Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)· 2025
Ona de Gibert, Dayyán O’Brien, Dušan Variš, Jörg Tiedemann
OpusDistillery: A Configurable End-to-End Pipeline for Systematic Multilingual Distillation of Open NMT Models
Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)· 2025
Ona de Gibert, Tommi Nieminen, Yves Scherrer, Jörg Tiedemann
Poro 34B and the Blessing of Multilinguality
Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies· 2025
Luukkonen, Risto; Burdge, Jonathan; Zosa, Elaine; Talman, Aarne; Komulainen, Ville; Hatanpää, Väinö; Sarlin, Peter; Pyysalo, Sampo
Scaling Low-Resource MT via Synthetic Data Generation with LLMs
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing· 2025DOI Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann
{EEE-QA}: Exploring effective and efficient question-answer representations
Zhanghao Hu and Yijun Yang and Junjie Xu and Yifu Qiu and Pinzhen Chen
A New Massive Multilingual Dataset for High-Performance Language Technologies
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)· 2024DOI de Gibert, Ona; Nail, Graeme; Arefyev, Nikolay; Bañón, Marta; van der Linde, Jelmer; Ji, Shaoxiong; Zaragoza-Bernabeu, Jaume; Aulamo, Mikko; Ramírez-Sánchez, Gema; Kutuzov, Andrey; Pyysalo, Sampo; Oepen, Stephan; Tiedemann, Jörg
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)· 2024DOI Shaoxiong Ji; Timothee Mickus; Vincent Segonne; Jörg Tiedemann
Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary
Proceedings of The Second Arabic Natural Language Processing Conference· 2024DOI Pinzhen Chen, Zheng Zhao, Shun Shao
Code-Switched Language Identification is Harder Than You Think
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)· 2024
Burchell, Laurie and Birch, Alexandra and Thompson, Robert and Heafield, Kenneth
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models
Shaoxiong Ji; Zihao Li; Indraneil Paul; Jaakko Paavola; Peiqin Lin; Pinzhen Chen; Dayyán O'Brien; Hengyu Luo; Hinrich Schütze; Jörg Tiedemann; Barry Haddow
GPT or BERT: why not both?
The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning· 2024
Lucas Georges Gabriel Charpentier, David Samuel
How Many Languages Make Good Multilingual Instruction Tuning? A Case Study on BLOOM
Ji, Shaoxiong; Chen, Pinzhen
HPLT’s First Release of Data and Models
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)· 2024
Ramírez-Sánchez, Gema; Chen, Pinzhen; Helcl, Jindřich; Zaragoza-Bernabeu, Jaume; Malik, Bhavitvya; De Gibert Bonet, Ona; Stepachev, Pavel; Variš, Dušan; Haddow, Barry; Arefyev, Nikolay; Tiedemann, Jörg
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing· 2024DOI Pinzhen Chen; Simon Yu; Zhicheng Guo; Barry Haddow
Large Language Model Inference with Lexical Shortlisting
AAAI Workshop on Deployable AI· 2024DOI Nikolay Bogoychev and Pinzhen Chen and Barry Haddow and Alexandra Birch
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
Proceedings of the Fifth Workshop on Insights from Negative Results in NLP· 2024DOI Nikolay Bogoychev, Pinzhen Chen, Barry Haddow, Alexandra Birch
An Open Dataset and Model for Language Identification
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)· 2023DOI Laurie Burchell, Alexandra Birch, Nikolay Bogoychev, Kenneth Heafield
Cheating to Identify Hard Problems for Neural Machine Translation
Proyag Pal, Kenneth Heafield
Exploring Data Augmentation for Code Generation Tasks
· 2023
Pinzhen Chen, Gerasimos Lampouras
Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet
Proceedings of the Eighth Conference on Machine Translation· 2023DOI Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondřej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Philipp Koehn, Benjamin Marie, Christof Monz, Makoto Morishita, Kenton Murray, Makoto Nagata, Toshiaki Nakazawa, Martin Popel, Maja Popović, Mariya Shmatova
FinGPT: Large Generative Models for a Small Language
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing· 2023DOI Luukkonen, Risto; Komulainen, Ville; Luoma, Jouni; Eskelinen, Anni; Kanerva, Jenna; Kupari, Hanna-Mari; Ginter, Filip; Laippala, Veronika; Muennighoff, Niklas; Piktus, Aleksandra; Wang, Thomas; Tazi, Nouamane; Scao, Teven Le; Wolf, Thomas; Suominen, Osma; Sairanen, Samuli; Merioksa, Mikko; Heinonen, Jyrki; Vahtola, Aija; Antao, Samuel; Pyysalo, Sampo
Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task
Ona De Gibert, Raúl Vázquez, Mikko Aulamo, Yves Scherrer, Sami Virpioja, Jörg Tiedemann
HPLT High-Performance Language Technology: Building LLMs and TMs in European languages
· 2023
Hajič, Jan
Iterative Translation Refinement with Large Language Models
Chen, Pinzhen and Guo, Zhicheng and Haddow, Barry and Heafield, Kenneth
Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings
Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning· 2023DOI David Samuel
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Chen, Pinzhen; Ji, Shaoxiong; Bogoychev, Nikolay; Kutuzov, Andrey; Haddow, Barry; Heafield, Kenneth
NorBench – A Benchmark for Norwegian Language Models
Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)· 2023
David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina
Not all layers are equally as important: Every Layer Counts BERT
Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning· 2023DOI Lucas Georges Gabriel Charpentier, David Samuel
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models
Nikolay Bogoychev and Jelmer van der Linde and Graeme Nail and Barry Haddow and Jaume Zaragoza-Bernabeu and Gema Ramírez-Sánchez and Lukas Weymann and Tudor Nicolae Mateiu and Jindřich Helcl and Mikko Aulamo
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay Cohen, Manish Shrivastava, Barry Haddow
Scaling Data-Constrained Language Models
Muennighoff, Niklas; Rush, Alexander M.; Barak, Boaz; Scao, Teven Le; Piktus, Aleksandra; Tazi, Nouamane; Pyysalo, Sampo; Wolf, Thomas; Raffel, Colin
SpringerPlus
Tiedemann J.; Aulamo M.; Bakshandaeva D.; Boggia M.; Grönroos S. A.; Nieminen T.; Raganato A.; Scherrer Y.; Vázquez R.; Virpioja S.
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting
Bogoychev, Nikolay and Chen, Pinzhen
The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models
Jörg Tiedemann and Ona de Gibert
Tokenization with Factorized Subword Encoding
David Samuel and Lilja Øvrelid
Towards Effective Disambiguation for Machine Translation with Large Language Models
Vivek Iyer, Pinzhen Chen, and Alexandra Birch
Towards Interpretable Mental Health Analysis with Large Language Models
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing· 2023DOI Yang, Kailai; Ji, Shaoxiong; Zhang, Tianlin; Xie, Qianqian; Kuang, Ziyan; Ananiadou, Sophia
Unsupervised Feature Selection for Effective Parallel Corpus Filtering
Proceedings of the 24th Annual Conference of the European Association for Machine Translation· 2023
Mikko Aulamo, Ona de Gibert, Sami Virpioja, and Jörg Tiedemann
Velké jazykové modely: Co znamená velké a co jazykové?
· 2023
Libovický, Jindřich
CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task
Proceedings of the Seventh Conference on Machine Translation (WMT)· 2022
Jindřich Helcl
CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task
Helcl, Jindřich
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task
Popel, Martin; Libovický, Jindřich; Helcl, Jindřich