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Julia Kreutzer
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2020 – today
- 2024
- [c36]Everlyn Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett, Sara Hooker:
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning. ACL (Findings) 2024: 9407-9426 - [c35]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:
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. ACL (1) 2024: 11521-11567 - [c34]Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker:
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs. ACL (1) 2024: 12248-12267 - [c33]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:
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. ACL (1) 2024: 15894-15939 - [c32]Daan van Esch, Sandy Ritchie, Sebastian Ruder, Julia Kreutzer, Clara Rivera, Ishank Saxena, Isaac Caswell:
Connecting Language Technologies with Rich, Diverse Data Sources Covering Thousands of Languages. LREC/COLING 2024: 3729-3746 - [c31]Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker:
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives. EMNLP 2024: 9243-9267 - [c30]Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker:
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. EMNLP 2024: 12027-12049 - [c29]John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker:
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs. EMNLP 2024: 13134-13156 - [i36]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:
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. CoRR abs/2402.06619 (2024) - [i35]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:
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. CoRR abs/2402.07827 (2024) - [i34]Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker:
Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs. CoRR abs/2402.14740 (2024) - [i33]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:
Aya 23: Open Weight Releases to Further Multilingual Progress. CoRR abs/2405.15032 (2024) - [i32]Everlyn Asiko Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning. CoRR abs/2405.19462 (2024) - [i31]Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker:
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. CoRR abs/2406.18682 (2024) - [i30]Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker:
LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives. CoRR abs/2407.01490 (2024) - [i29]John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker:
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs. CoRR abs/2407.02552 (2024) - 2022
- [j2]Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. Trans. Assoc. Comput. Linguistics 10: 50-72 (2022) - [c28]Mayumi Ohta
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. EMNLP (Demos) 2022: 50-59 - [c27]Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer:
Intriguing Properties of Compression on Multilingual Models. EMNLP 2022: 9092-9110 - [c26]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
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. NAACL-HLT 2022: 3053-3070 - [c25]Sweta Agrawal, Julia Kreutzer, Colin Cherry:
Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation. WMT 2022: 177-187 - [c24]Lekan Raheem, Maab Elrashid, Melvin Johnson, Julia Kreutzer:
Domain Curricula for Code-Switched MT at MixMT 2022. WMT 2022: 1162-1169 - [i28]David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. CoRR abs/2205.02022 (2022) - [i27]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
Building Machine Translation Systems for the Next Thousand Languages. CoRR abs/2205.03983 (2022) - [i26]Mayumi Ohta, Julia Kreutzer, Stefan Riezler:
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. CoRR abs/2210.02545 (2022) - [i25]Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer:
Intriguing Properties of Compression on Multilingual Models. CoRR abs/2211.02738 (2022) - 2021
- [j1]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
MasakhaNER: Named Entity Recognition for African Languages. Trans. Assoc. Comput. Linguistics 9: 1116-1131 (2021) - [c23]Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. SPNLP@ACL-IJCNLP 2021: 37-43 - [c22]Julia Kreutzer, David Vilar, Artem Sokolov:
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. EMNLP (Findings) 2021: 3190-3204 - [c21]Orevaoghene Ahia, Julia Kreutzer, Sara Hooker:
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation. EMNLP (Findings) 2021: 3316-3333 - [c20]Samuel Kiegeland, Julia Kreutzer:
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation. NAACL-HLT 2021: 1673-1681 - [c19]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:
Evaluating Multiway Multilingual NMT in the Turkic Languages. WMT@EMNLP 2021: 518-530 - [e4]Kathleen Siminyu, Julia Kreutzer, Hady Elsahar, Vukosi Marivate, Nishant Subramani, Jade Z. Abbott, Bernardt Duvenhage:
2nd AfricaNLP Workshop Proceedings, AfricaNLP@EACL 2021, Virtual Event, April 19, 2021. 2021 [contents] - [i24]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
MasakhaNER: Named Entity Recognition for African Languages. AfricaNLP 2021 - [i23]Isaac Caswell, Julia Kreutzer, 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
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. AfricaNLP 2021 - [i22]Samuel Kiegeland, Julia Kreutzer:
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation. CoRR abs/2106.08942 (2021) - [i21]Edoardo Maria Ponti, Julia Kreutzer, Ivan Vulic, Siva Reddy:
Modelling Latent Translations for Cross-Lingual Transfer. CoRR abs/2107.11353 (2021) - [i20]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:
Evaluating Multiway Multilingual NMT in the Turkic Languages. CoRR abs/2109.06262 (2021) - [i19]Orevaoghene Ahia, Julia Kreutzer, Sara Hooker:
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation. CoRR abs/2110.03036 (2021) - [i18]Julia Kreutzer, David Vilar, Artem Sokolov:
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. CoRR abs/2110.06997 (2021) - [i17]Sweta Agrawal, Julia Kreutzer, Colin Cherry:
Can Multilinguality benefit Non-autoregressive Machine Translation? CoRR abs/2112.08570 (2021) - 2020
- [b1]Julia Kreutzer:
Reinforcement Learning for Machine Translation: from Simulations to Real-World Applications. University of Heidelberg, Germany, 2020 - [c18]Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang:
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. COLING 2020: 5507-5521 - [c17]Julia Kreutzer, Nathaniel Berger, Stefan Riezler:
Correct Me If You Can: Learning from Error Corrections and Markings. EAMT 2020: 135-144 - [c16]Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, Timi E. Fasubaa, Taiwo Fagbohungbe, Solomon Oluwole Akinola
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages. EMNLP (Findings) 2020: 2144-2160 - [c15]Julia Kreutzer, George F. Foster, Colin Cherry:
Inference Strategies for Machine Translation with Conditional Masking. EMNLP (1) 2020: 5774-5782 - [c14]Iroro Orife, Julia Kreutzer, Blessing K. Sibanda, Daniel Whitenack, Kathleen Siminyu, Laura Martinus, Jamiil Toure Ali, Jade Z. Abbott, Vukosi Marivate, Salomon Kabongo
Masakhane - Machine Translation For Africa. AfricaNLP 2020 - [c13]Elan Van Biljon, Arnu Pretorius, Julia Kreutzer:
On Optimal Transformer Depth for Low-Resource Language Translation. AfricaNLP 2020 - [e3]Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos:
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-83-5 [contents] - [i16]Julia Kreutzer, Nathaniel Berger, Stefan Riezler:
Correct Me If You Can: Learning from Error Corrections and Markings. CoRR abs/2004.11222 (2020) - [i15]Julia Kreutzer, George F. Foster, Colin Cherry:
Inference Strategies for Machine Translation with Conditional Masking. CoRR abs/2010.02352 (2020) - [i14]Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, Timi E. Fasubaa, Tajudeen Kolawole, Taiwo Fagbohungbe, Solomon Oluwole Akinola, Shamsuddeen Hassan Muhammad, Salomon Kabongo
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages. CoRR abs/2010.02353 (2020) - [i13]Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang:
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. CoRR abs/2010.12174 (2020) - [i12]Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. CoRR abs/2011.02511 (2020) - [i11]Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, Michael Leventhal:
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara. CoRR abs/2011.05284 (2020)
2010 – 2019
- 2019
- [c12]Julia Kreutzer, Stefan Riezler:
Self-Regulated Interactive Sequence-to-Sequence Learning. ACL (1) 2019: 303-315 - [c11]Julia Kreutzer, Jasmijn Bastings, Stefan Riezler:
Joey NMT: A Minimalist NMT Toolkit for Novices. EMNLP/IJCNLP (3) 2019: 109-114 - [e2]André F. T. Martins, Andreas Vlachos, Zornitsa Kozareva, Sujith Ravi, Gerasimos Lampouras, Vlad Niculae, Julia Kreutzer:
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, Minneapolis, Minnesota, Jun 7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-10-9 [contents] - [i10]Julia Kreutzer, Stefan Riezler:
Self-Regulated Interactive Sequence-to-Sequence Learning. CoRR abs/1907.05190 (2019) - [i9]Julia Kreutzer, Jasmijn Bastings, Stefan Riezler:
Joey NMT: A Minimalist NMT Toolkit for Novices. CoRR abs/1907.12484 (2019) - 2018
- [c10]Julia Kreutzer, Joshua Uyheng
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. ACL (1) 2018: 1777-1788 - [c9]Tsz Kin Lam, Julia Kreutzer, Stefan Riezler:
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. EAMT 2018: 189-198 - [c8]Julia Kreutzer, Artem Sokolov:
Learning to Segment Inputs for NMT Favors Character-Level Processing. IWSLT 2018: 166-172 - [c7]Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler:
Can Neural Machine Translation be Improved with User Feedback? NAACL-HLT (3) 2018: 92-105 - [i8]Julia Kreutzer, Shahram Khadivi, Evgeny Matusov, Stefan Riezler:
Can Neural Machine Translation be Improved with User Feedback? CoRR abs/1804.05958 (2018) - [i7]Tsz Kin Lam, Julia Kreutzer, Stefan Riezler:
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. CoRR abs/1805.01553 (2018) - [i6]Julia Kreutzer, Joshua Uyheng, Stefan Riezler:
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. CoRR abs/1805.10627 (2018) - [i5]Ryan Cotterell, Julia Kreutzer:
Explaining and Generalizing Back-Translation through Wake-Sleep. CoRR abs/1806.04402 (2018) - [i4]Julia Kreutzer, Artem Sokolov:
Learning to Segment Inputs for NMT Favors Character-Level Processing. CoRR abs/1810.01480 (2018) - 2017
- [c6]Julia Kreutzer, Artem Sokolov, Stefan Riezler:
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. ACL (1) 2017: 1503-1513 - [c5]André F. T. Martins
Learning What's Easy: Fully Differentiable Neural Easy-First Taggers. EMNLP 2017: 349-362 - [c4]Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler:
A Shared Task on Bandit Learning for Machine Translation. WMT 2017: 514-524 - [e1]Ondrej Bojar, Christian Buck, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Julia Kreutzer:
Proceedings of the Second Conference on Machine Translation, WMT 2017, Copenhagen, Denmark, September 7-8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-96-8 [contents] - [i3]Julia Kreutzer, Artem Sokolov, Stefan Riezler:
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. CoRR abs/1704.06497 (2017) - [i2]Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler:
A Shared Task on Bandit Learning for Machine Translation. CoRR abs/1707.09050 (2017) - 2016
- [c3]Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler:
Learning Structured Predictors from Bandit Feedback for Interactive NLP. ACL (1) 2016 - [c2]Artem Sokolov, Julia Kreutzer, Stefan Riezler, Christopher Lo:
Stochastic Structured Prediction under Bandit Feedback. NIPS 2016: 1489-1497 - [i1]Artem Sokolov, Julia Kreutzer, Stefan Riezler:
Stochastic Structured Prediction under Bandit Feedback. CoRR abs/1606.00739 (2016) - 2015
- [c1]Julia Kreutzer, Shigehiko Schamoni
QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation. WMT@EMNLP 2015: 316-322
Coauthor Index
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