Kenton Murray

According to our database, Kenton Murray authored at least 45 papers between 2013 and 2024.

Collaborative distances:

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

2024

Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets.

Tianjian Li, Haoran Xu, Weiting Tan, Kenton Murray, Daniel Khashabi

CoRR, 2024

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale.

Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah

CoRR, 2024

Preliminary WMT24 Ranking of General MT Systems and LLMs.

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Marzena Karpinska, Philipp Koehn, Benjamin Marie, Kenton Murray, Masaaki Nagata, Martin Popel, Maja Popovic, Mariya Shmatova, Steinþór Steingrímsson, Vilém Zouhar

CoRR, 2024

Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models.

Nikhil Sharma, Kenton Murray, Ziang Xiao

CoRR, 2024

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles.

Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen

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

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages.

Nathaniel R. Robinson, Raj Dabre, Ammon Shurtz, Rasul Dent, Onenamiyi Onesi, Claire Bizon Monroc, Loïc Grobol, Hasan Muhammad, Ashi Garg, Naome A. Etori, Vijay Murari Tiyyala, Olanrewaju Samuel, Matthew Dean Stutzman, Bismarck Bamfo Odoom, Sanjeev Khudanpur, Stephen D. Richardson, Kenton Murray

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Where are you from? Geolocating Speech and Applications to Language Identification.

Patrick Foley, Matthew Wiesner, Bismarck Odoom, Leibny Paola García-Perera, Kenton Murray, Philipp Koehn

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.

Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models.

Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization.

Niyati Bafna, Kenton Murray, David Yarowsky

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

Exploring Geometric Representational Disparities between Multilingual and Bilingual Translation Models.

Neha Verma, Kenton Murray, Kevin Duh

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

Can Synthetic Speech Improve End-to-End Conversational Speech Translation?

Bismarck Bamfo Odoom, Nathaniel R. Robinson, Elijah Rippeth, Luis Tavarez-Arce, Kenton Murray, Matthew Wiesner, Paul McNamee, Philipp Koehn, Kevin Duh

Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, 2024

2023

Linking Symptom Inventories using Semantic Textual Similarity.

Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Kelly S. Peterson, Kristen Dams OConnor, Kenton Murray, Ronak Agarwal, Houshang H. Amiri, Raeda K. Andersen, Talin Babikian, David A Baron, Erin D. Bigler, Karen Caeyenberghs, Lisa Delano-Wood, Seth G. Disner, Ekaterina Dobryakova, Blessen C. Eapen, Rachel M. Edelstein, Carrie Esopenko, Helen M. Genova, Elbert Geuze, Naomi J. Goodrich-Hunsaker, Jordan Grafman, Asta K. Håberg, Cooper B. Hodges, Kristen R. Hoskinson, Elizabeth S. Hovenden, Andrei Irimia, Neda Jahanshad, Ruchira M. Jha, Finian Keleher, Kimbra Kenney, Inga Koerte, Spencer W. Liebel, Abigail Livny, Marianne Lovstad, Sarah L. Martindale, Jeffrey E. Max, Andrew R. Mayer, Timothy B. Meier, Deleene S. Menefee, Abdalla Z. Mohamed, Stefania Mondello, Martin M. Monti, Rajendra A. Morey, Virginia Newcombe, et al.

CoRR, 2023

MegaWika: Millions of reports and their sources across 50 diverse languages.

Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme

CoRR, 2023

Exploring Representational Disparities Between Multilingual and Bilingual Translation Models.

Neha Verma, Kenton Murray, Kevin Duh

CoRR, 2023

Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet.

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej 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 Popovic, Mariya Shmatova

Proceedings of the Eighth Conference on Machine Translation, 2023

Findings of the IWSLT 2023 Evaluation Campaign.

Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Condensing Multilingual Knowledge with Lightweight Language-Specific Modules.

Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity.

Haoran Xu, Maha Elbayad, Kenton Murray, Jean Maillard, Vedanuj Goswami

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Why Does Zero-Shot Cross-Lingual Generation Fail? An Explanation and a Solution.

Tianjian Li, Kenton Murray

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns.

Shuyue Stella Li, Kenton Murray

CoRR, 2022

Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer.

Haoran Xu, Kenton Murray

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Findings of the IWSLT 2022 Evaluation Campaign.

Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondrej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Estève, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, Dávid Javorský, Vera Kloudová, Surafel Melaku Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John Ortega, Juan Miguel Pino, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Marco Turchi, Yogesh Virkar, Alexander Waibel, Changhan Wang, Shinji Watanabe

Proceedings of the 19th International Conference on Spoken Language Translation, 2022

The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains.

Haoran Xu, Philipp Koehn, Kenton Murray

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

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models.

Suraj Nair, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard

Proceedings of the Advances in Information Retrieval, 2022

Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation.

Neha Verma, Kenton Murray, Kevin Duh

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021

Joint Universal Syntactic and Semantic Parsing.

Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme

Trans. Assoc. Comput. Linguistics, 2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Gradual Fine-Tuning for Low-Resource Domain Adaptation.

Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton W. Murray

CoRR, 2021

Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution.

Toan Q. Nguyen, Kenton Murray, David Chiang

Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction.

Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation.

Haoran Xu, Benjamin Van Durme, Kenton W. Murray

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Collecting Verified COVID-19 Question Answer Pairs.

Adam Poliak, Max Fleming, Cash Costello, Kenton W. Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education.

Huda Khayrallah, Jacob Bremerman, Arya D. McCarthy, Kenton Murray, Winston Wu, Matt Post

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019

Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation.

Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen, Walter J. Scheirer, David Chiang

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task.

Kenton Murray, Brian DuSell, David Chiang

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

2018

Incident-Driven Machine Translation and Name Tagging for Low-resource Languages.

Ulf Hermjakob, Qiang Li, Daniel Marcu, Jonathan May, S. J. Mielke, Nima Pourdamghani, Michael Pust, Xing Shi, Kevin Knight, Tomer Levinboim, Kenton Murray, David Chiang, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Heng Ji

Mach. Transl., 2018

An Empirical Exploration of Curriculum Learning for Neural Machine Translation.

Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat

CoRR, 2018

Correcting Length Bias in Neural Machine Translation.

Kenton Murray, David Chiang

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

2016

Probabilistic Neural Programs.

Kenton W. Murray, Jayant Krishnamurthy

CoRR, 2016

Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams.

Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, Daniel B. Neill

CoRR, 2016

2015

Auto-Sizing Neural Networks: With Applications to n-gram Language Models.

Kenton Murray, David Chiang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

CoBaFi: collaborative bayesian filtering.

Alex Beutel, Kenton Murray, Christos Faloutsos, Alexander J. Smola

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References.

Waleed Ammar, Victor Chahuneau, Michael J. Denkowski, Greg Hanneman, Wang Ling, Austin Matthews, Kenton Murray, Nicola Segall, Alon Lavie, Chris Dyer

Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation.

Hassan Sajjad, Francisco Guzmán, Preslav Nakov, Ahmed Abdelali, Kenton Murray, Fahad Al-Obaidli, Stephan Vogel

Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2013, 2013