Julia Kreutzer

According to our database, Julia Kreutzer authored at least 51 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives.

Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

CoRR, 2024

Aya 23: Open Weight Releases to Further Multilingual Progress.

Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker

CoRR, 2024

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.

Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje F. Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Chien Vu, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker

CoRR, 2024

LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives.

Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs.

John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm.

Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Connecting Language Technologies with Rich, Diverse Data Sources Covering Thousands of Languages.

Daan van Esch, Sandy Ritchie, Sebastian Ruder, Julia Kreutzer, Clara Rivera, Ishank Saxena, Isaac Caswell

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.

Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Vu Chien, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning.

Everlyn Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett, Sara Hooker

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs.

Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets.

Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Balli, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi

Trans. Assoc. Comput. Linguistics, 2022

Building Machine Translation Systems for the Next Thousand Languages.

Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2022

Domain Curricula for Code-Switched MT at MixMT 2022.

Lekan Raheem, Maab Elrashid, Melvin Johnson, Julia Kreutzer

Proceedings of the Seventh Conference on Machine Translation, 2022

Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation.

Sweta Agrawal, Julia Kreutzer, Colin Cherry

Proceedings of the Seventh Conference on Machine Translation, 2022

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation.

David Ifeoluwa Adelani, Jesujoba O. Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ajibade, Tunde Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing K. Sibanda, Andiswa Bukula, Sam Manthalu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT.

Mayumi Ohta, Julia Kreutzer, Stefan Riezler

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Intriguing Properties of Compression on Multilingual Models.

Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

MasakhaNER: Named Entity Recognition for African Languages.

David Ifeoluwa Adelani, Jade Z. Abbott, Graham Neubig, Daniel D'souza, Julia Kreutzer, Constantine Lignos, Chester Palen-Michel, Happy Buzaaba, Shruti Rijhwani, Sebastian Ruder, Stephen Mayhew, Israel Abebe Azime, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Joyce Nakatumba-Nabende, Perez Ogayo, Aremu Anuoluwapo, Catherine Gitau, Derguene Mbaye, Jesujoba O. Alabi, Seid Muhie Yimam, Tajuddeen Gwadabe, Ignatius Ezeani, Rubungo Andre Niyongabo, Jonathan Mukiibi, Verrah Otiende, Iroro Orife, Davis David, Samba Ngom, Tosin P. Adewumi, Paul Rayson, Mofetoluwa Adeyemi, Gerald Muriuki, Emmanuel Anebi, Chiamaka Chukwuneke, Nkiruka Odu, Eric Peter Wairagala, Samuel Oyerinde, Clemencia Siro, Tobius Saul Bateesa, Temilola Oloyede, Yvonne Wambui, Victor Akinode, Deborah Nabagereka, Maurice Katusiime, Ayodele Awokoya, Mouhamadane Mboup, Dibora Gebreyohannes, Henok Tilaye, Kelechi Nwaike, Degaga Wolde, Abdoulaye Faye, Blessing K. Sibanda, Orevaoghene Ahia, Bonaventure F. P. Dossou, Kelechi Ogueji, Thierno Ibrahima Diop, Abdoulaye Diallo, Adewale Akinfaderin, Tendai Marengereke, Salomey Osei

Trans. Assoc. Comput. Linguistics, 2021

Can Multilinguality benefit Non-autoregressive Machine Translation?

Sweta Agrawal, Julia Kreutzer, Colin Cherry

CoRR, 2021

Evaluating Multiway Multilingual NMT in the Turkic Languages.

Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzod Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis M. Tyers, Orhan Firat, John Licato, Sriram Chellappan

CoRR, 2021

Modelling Latent Translations for Cross-Lingual Transfer.

Edoardo Maria Ponti, Julia Kreutzer, Ivan Vulic, Siva Reddy

CoRR, 2021

Evaluating Multiway Multilingual NMT in the Turkic Languages.

Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzodbek Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis M. Tyers, Orhan Firat, John Licato, Sriram Chellappan

Proceedings of the Sixth Conference on Machine Translation, 2021

Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation.

Samuel Kiegeland, Julia Kreutzer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits.

Julia Kreutzer, David Vilar, Artem Sokolov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation.

Orevaoghene Ahia, Julia Kreutzer, Sara Hooker

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks.

Julia Kreutzer, Stefan Riezler, Carolin Lawrence

Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020

Reinforcement Learning for Machine Translation: from Simulations to Real-World Applications.

Julia Kreutzer

PhD thesis, 2020

Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara.

Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, Michael Leventhal

CoRR, 2020

Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP.

Julia Kreutzer, Stefan Riezler, Carolin Lawrence

CoRR, 2020

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages.

Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, Timi E. Fasubaa, Tajudeen Kolawole, Taiwo Fagbohungbe, Solomon Oluwole Akinola, Shamsuddeen Hassan Muhammad, Salomon Kabongo, Salomey Osei, Sackey Freshia, Rubungo Andre Niyongabo, Ricky Macharm, Perez Ogayo, Orevaoghene Ahia, Musie Meressa, Mofe Adeyemi, Masabata Mokgesi-Selinga, Lawrence Okegbemi, Laura Jane Martinus, Kolawole Tajudeen, Kevin Degila, Kelechi Ogueji, Kathleen Siminyu, Julia Kreutzer, Jason Webster, Jamiil Toure Ali, Jade Z. Abbott, Iroro Orife, Ignatius Ezeani, Idris Abdulkabir Dangana, Herman Kamper, Hady Elsahar, Goodness Duru, Ghollah Kioko, Espoir Murhabazi, Elan Van Biljon, Daniel Whitenack, Christopher Onyefuluchi, Chris Emezue, Bonaventure Dossou, Blessing K. Sibanda, Blessing Itoro Bassey, Ayodele Olabiyi, Arshath Ramkilowan, Alp Öktem, Adewale Akinfaderin, Abdallah Bashir

CoRR, 2020

On Optimal Transformer Depth for Low-Resource Language Translation.

Elan Van Biljon, Arnu Pretorius, Julia Kreutzer

Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

Masakhane - Machine Translation For Africa.

Iroro Orife, Julia Kreutzer, Blessing K. Sibanda, Daniel Whitenack, Kathleen Siminyu, Laura Martinus, Jamiil Toure Ali, Jade Z. Abbott, Vukosi Marivate, Salomon Kabongo, Musie Meressa, Espoir Murhabazi, Orevaoghene Ahia, Elan Van Biljon, Arshath Ramkilowan, Adewale Akinfaderin, Alp Öktem, Wole Akin, Ghollah Kioko, Kevin Degila, Herman Kamper, Bonaventure Dossou, Chris Emezue, Kelechi Ogueji, Abdallah Bashir

Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages.

Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, Timi E. Fasubaa, Taiwo Fagbohungbe, Solomon Oluwole Akinola, Shamsuddeen Hassan Muhammad, Salomon Kabongo Kabenamualu, Salomey Osei, Freshia Sackey, Rubungo Andre Niyongabo, Ricky Macharm, Perez Ogayo, Orevaoghene Ahia, Musie Meressa Berhe, Mofetoluwa Adeyemi, Masabata Mokgesi-Selinga, Lawrence Okegbemi, Laura Martinus, Kolawole Tajudeen, Kevin Degila, Kelechi Ogueji, Kathleen Siminyu, Julia Kreutzer, Jason Webster, Jamiil Toure Ali, Jade Z. Abbott, Iroro Orife, Ignatius Ezeani, Idris Abdulkabir Dangana, Herman Kamper, Hady Elsahar, Goodness Duru, Ghollah Kioko, Espoir Murhabazi, Elan Van Biljon, Daniel Whitenack, Christopher Onyefuluchi, Chris Chinenye Emezue, Bonaventure F. P. Dossou, Blessing K. Sibanda, Blessing Itoro Bassey, Ayodele Olabiyi, Arshath Ramkilowan, Alp Öktem, Adewale Akinfaderin, Abdallah Bashir

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Inference Strategies for Machine Translation with Conditional Masking.

Julia Kreutzer, George F. Foster, Colin Cherry

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Correct Me If You Can: Learning from Error Corrections and Markings.

Julia Kreutzer, Nathaniel Berger, Stefan Riezler

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi.

Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Joey NMT: A Minimalist NMT Toolkit for Novices.

Julia Kreutzer, Jasmijn Bastings, Stefan Riezler

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Self-Regulated Interactive Sequence-to-Sequence Learning.

Julia Kreutzer, Stefan Riezler

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Explaining and Generalizing Back-Translation through Wake-Sleep.

Ryan Cotterell, Julia Kreutzer

CoRR, 2018

Can Neural Machine Translation be Improved with User Feedback?

Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning to Segment Inputs for NMT Favors Character-Level Processing.

Julia Kreutzer, Artem Sokolov

Proceedings of the 15th International Conference on Spoken Language Translation, 2018

A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation.

Tsz Kin Lam, Julia Kreutzer, Stefan Riezler

Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning.

Julia Kreutzer, Joshua Uyheng, Stefan Riezler

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Shared Task on Bandit Learning for Machine Translation.

Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler

Proceedings of the Second Conference on Machine Translation, 2017

Learning What's Easy: Fully Differentiable Neural Easy-First Taggers.

André F. T. Martins, Julia Kreutzer

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning.

Julia Kreutzer, Artem Sokolov, Stefan Riezler

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Stochastic Structured Prediction under Bandit Feedback.

Artem Sokolov, Julia Kreutzer, Stefan Riezler

CoRR, 2016

Stochastic Structured Prediction under Bandit Feedback.

Artem Sokolov, Julia Kreutzer, Stefan Riezler, Christopher Lo

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Structured Predictors from Bandit Feedback for Interactive NLP.

Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation.

Julia Kreutzer, Shigehiko Schamoni, Stefan Riezler

Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015