QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation. - Julia Kreutzer; Shigehiko Schamoni; Stefan Riezler (WMT@EMNLP, 2015)

Learning Structured Predictors from Bandit Feedback for Interactive NLP. - Artem Sokolov; Julia Kreutzer; Christopher Lo; Stefan Riezler (ACL (1), 2016)

Stochastic Structured Prediction under Bandit Feedback. - Artem Sokolov; Julia Kreutzer; Stefan Riezler; Christopher Lo (NIPS, 2016)

Stochastic Structured Prediction under Bandit Feedback. - Artem Sokolov; Julia Kreutzer; Stefan Riezler (CoRR, 2016)

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. - Julia Kreutzer; Artem Sokolov; Stefan Riezler (ACL (1), 2017)

Learning What's Easy: Fully Differentiable Neural Easy-First Taggers. - André F. T. Martins; Julia Kreutzer (EMNLP, 2017)

A Shared Task on Bandit Learning for Machine Translation. - Artem Sokolov; Julia Kreutzer; Kellen Sunderland; Pavel Danchenko; Witold Szymaniak; Hagen Fürstenau; Stefan Riezler (WMT, 2017)

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. - Julia Kreutzer; Joshua Uyheng; Stefan Riezler (ACL (1), 2018)

A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. - Tsz Kin Lam; Julia Kreutzer; Stefan Riezler (EAMT, 2018)

Learning to Segment Inputs for NMT Favors Character-Level Processing. - Julia Kreutzer; Artem Sokolov (IWSLT, 2018)

Can Neural Machine Translation be Improved with User Feedback? - Julia Kreutzer; Shahram Khadivi; Evgeny Matusov; Stefan Riezler (NAACL-HLT (3), 2018)

Explaining and Generalizing Back-Translation through Wake-Sleep. - Ryan Cotterell; Julia Kreutzer (CoRR, 2018)

Self-Regulated Interactive Sequence-to-Sequence Learning. - Julia Kreutzer; Stefan Riezler (ACL (1), 2019)

Joey NMT: A Minimalist NMT Toolkit for Novices. - Julia Kreutzer; Jasmijn Bastings; Stefan Riezler (EMNLP/IJCNLP (3), 2019)

KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. - Rubungo Andre Niyongabo; Hong Qu; Julia Kreutzer; Li Huang 002 (COLING, 2020)

Correct Me If You Can: Learning from Error Corrections and Markings. - Julia Kreutzer; Nathaniel Berger; Stefan Riezler (EAMT, 2020)

Inference Strategies for Machine Translation with Conditional Masking. - Julia Kreutzer; George F. Foster; Colin Cherry (EMNLP (1), 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; et al. (EMNLP (Findings), 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; et al. (AfricaNLP, 2020)

On Optimal Transformer Depth for Low-Resource Language Translation. - Elan Van Biljon; Arnu Pretorius; Julia Kreutzer (AfricaNLP, 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; et al. (CoRR, 2020)

Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. - Julia Kreutzer; Stefan Riezler; Carolin Lawrence (CoRR, 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)

Reinforcement Learning for Machine Translation: from Simulations to Real-World Applications. - Julia Kreutzer (2020)

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. - Julia Kreutzer; Stefan Riezler; Carolin Lawrence (SPNLP@ACL-IJCNLP, 2021)

The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation. - Orevaoghene Ahia; Julia Kreutzer; Sara Hooker (EMNLP (Findings), 2021)

Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. - Julia Kreutzer; David Vilar; Artem Sokolov (EMNLP (Findings), 2021)

Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation. - Samuel Kiegeland; Julia Kreutzer (NAACL-HLT, 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; et al. (WMT@EMNLP, 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; Behzod Moydinboyev; Sardana Ivanova; Mokhiyakhon Uzokova; Shaxnoza Pulatova; Duygu Ataman; Julia Kreutzer; Francis M. Tyers; Orhan Firat; et al. (CoRR, 2021)

Can Multilinguality benefit Non-autoregressive Machine Translation? - Sweta Agrawal; Julia Kreutzer; Colin Cherry (CoRR, 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 002; Israel Abebe Azime; et al. (Trans. Assoc. Comput. Linguistics, 2021)

Intriguing Properties of Compression on Multilingual Models. - Kelechi Ogueji; Orevaoghene Ahia; Gbemileke Onilude; Sebastian Gehrmann; Sara Hooker; Julia Kreutzer (EMNLP, 2022)

JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT. - Mayumi Ohta; Julia Kreutzer; Stefan Riezler (EMNLP (Demos), 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 001; Machel Reid; Dana Ruiter; Dietrich Klakow; Peter Nabende; Ernie Chang; Tajuddeen Gwadabe; Freshia Sackey; et al. (NAACL-HLT, 2022)

Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation. - Sweta Agrawal; Julia Kreutzer; Colin Cherry (WMT, 2022)

Domain Curricula for Code-Switched MT at MixMT 2022. - Lekan Raheem; Maab Elrashid; Melvin Johnson; Julia Kreutzer (WMT, 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; et al. (CoRR, 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; et al. (Trans. Assoc. Comput. Linguistics, 2022)

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 (ACL (1), 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 (ACL (Findings), 2024)

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. - Shivalika Singh; Freddie Vargus; Daniel D'souza; Börje Karlsson 001; Abinaya Mahendiran; Wei-Yin Ko; Herumb Shandilya; Jay Patel; Deividas Mataciunas; Laura O'Mahony; Mike Zhang; Ramith Hettiarachchi; et al. (ACL (1), 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; et al. (ACL (1), 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 (LREC/COLING, 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 (EMNLP, 2024)

RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs. - John Dang; Arash Ahmadian; Kelly Marchisio; Julia Kreutzer; Ahmet Üstün; Sara Hooker (EMNLP, 2024)

LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives. - Luísa Shimabucoro; Sebastian Ruder; Julia Kreutzer; Marzieh Fadaee; Sara Hooker (EMNLP, 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; et al. (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; et al. (CoRR, 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)

Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation. - Julia Kreutzer; Eleftheria Briakou; Sweta Agrawal; Marzieh Fadaee; Kocmi Tom (CoRR, 2025)

Crosslingual Reasoning through Test-Time Scaling. - Zheng-Xin Yong; Muhammad Farid Adilazuarda; Jonibek Mansurov; Ruochen Zhang; Niklas Muennighoff; Carsten Eickhoff; Genta Indra Winata; Julia Kreutzer; Stephen H. Bach; Alham Fikri Aji (CoRR, 2025)

The Multilingual Divide and Its Impact on Global AI Safety. - Aidan Peppin; Julia Kreutzer; Alice Schoenauer Sebag; Kelly Marchisio; Beyza Ermis; John Dang; Samuel Cahyawijaya; Shivalika Singh; Seraphina Goldfarb-Tarrant; Viraat Aryabumi; Aakanksha; Wei-Yin Ko; et al. (CoRR, 2025)

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It. - Zheng-Xin Yong; Beyza Ermis; Marzieh Fadaee; Stephen H. Bach; Julia Kreutzer (CoRR, 2025)

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers. - Daniel D'souza; Julia Kreutzer; Adrien Morisot; Ahmet Üstün; Sara Hooker (CoRR, 2025)

When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs. - Ammar Khairi; Daniel D'souza; Ye Shen; Julia Kreutzer; Sara Hooker (CoRR, 2025)