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Kenton Murray
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- affiliation: Johns Hopkins University, Baltimore, MD, USA
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Journal Articles
- 2021
- [j2]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics 9: 756-773 (2021) - 2018
- [j1]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:
Incident-Driven Machine Translation and Name Tagging for Low-resource Languages. Mach. Transl. 32(1-2): 59-89 (2018)
Conference and Workshop Papers
- 2024
- [c29]Bismarck Bamfo Odoom, Nathaniel R. Robinson, Elijah Rippeth, Luis Tavarez-Arce, Kenton Murray, Matthew Wiesner, Paul McNamee, Philipp Koehn, Kevin Duh:
Can Synthetic Speech Improve End-to-End Conversational Speech Translation? AMTA (1) 2024: 167-177 - [c28]Neha Verma, Kenton Murray, Kevin Duh:
Exploring Geometric Representational Disparities between Multilingual and Bilingual Translation Models. LREC/COLING 2024: 6909-6921 - [c27]Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray:
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models. ICLR 2024 - [c26]Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim:
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. ICML 2024 - [c25]Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen:
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. NAACL-HLT (Findings) 2024: 490-502 - [c24]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:
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages. NAACL-HLT 2024: 3083-3110 - [c23]Patrick Foley, Matthew Wiesner, Bismarck Odoom, Leibny Paola García-Perera, Kenton Murray, Philipp Koehn:
Where are you from? Geolocating Speech and Applications to Language Identification. NAACL-HLT 2024: 5114-5126 - 2023
- [c22]Tianjian Li, Kenton Murray:
Why Does Zero-Shot Cross-Lingual Generation Fail? An Explanation and a Solution. ACL (Findings) 2023: 12461-12476 - [c21]Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray:
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. EMNLP 2023: 1575-1587 - [c20]Haoran Xu, Maha Elbayad, Kenton Murray, Jean Maillard, Vedanuj Goswami:
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. EMNLP (Findings) 2023: 12858-12870 - [c19]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:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [c18]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:
Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. WMT 2023: 1-42 - 2022
- [c17]Neha Verma, Kenton Murray, Kevin Duh:
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation. AMTA 2022: 31-44 - [c16]Suraj Nair, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard:
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. ECIR (1) 2022: 382-396 - [c15]Haoran Xu, Philipp Koehn, Kenton Murray:
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains. EMNLP 2022: 170-183 - [c14]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:
Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL 2022: 98-157 - [c13]Haoran Xu, Kenton Murray:
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer. NAACL-HLT (Findings) 2022: 2043-2059 - 2021
- [c12]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:
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP (1) 2021: 1950-1967 - [c11]Haoran Xu, Benjamin Van Durme, Kenton W. Murray:
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. EMNLP (1) 2021: 6663-6675 - [c10]Toan Q. Nguyen, Kenton Murray, David Chiang:
Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution. IWSLT 2021: 287-293 - 2020
- [c9]Huda Khayrallah, Jacob Bremerman, Arya D. McCarthy, Kenton Murray, Winston Wu, Matt Post:
The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education. NGT@ACL 2020: 188-197 - [c8]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:
Collecting Verified COVID-19 Question Answer Pairs. NLP4COVID@EMNLP 2020 - 2019
- [c7]Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen, Walter J. Scheirer, David Chiang:
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation. NGT@EMNLP-IJCNLP 2019: 231-240 - [c6]Kenton Murray, Brian DuSell, David Chiang:
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. NGT@EMNLP-IJCNLP 2019: 297-301 - 2018
- [c5]Kenton Murray, David Chiang:
Correcting Length Bias in Neural Machine Translation. WMT 2018: 212-223 - 2015
- [c4]Kenton Murray, David Chiang:
Auto-Sizing Neural Networks: With Applications to n-gram Language Models. EMNLP 2015: 908-916 - 2014
- [c3]Alex Beutel, Kenton Murray, Christos Faloutsos, Alexander J. Smola:
CoBaFi: collaborative bayesian filtering. WWW 2014: 97-108 - 2013
- [c2]Hassan Sajjad, Francisco Guzmán, Preslav Nakov, Ahmed Abdelali, Kenton Murray, Fahad Al-Obaidli, Stephan Vogel:
QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation. IWSLT (Evaluation Campaign) 2013 - [c1]Waleed Ammar, Victor Chahuneau, Michael J. Denkowski, Greg Hanneman, Wang Ling, Austin Matthews, Kenton Murray, Nicola Segall, Alon Lavie, Chris Dyer:
The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References. WMT@ACL 2013: 70-77
Informal and Other Publications
- 2024
- [i31]Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim:
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. CoRR abs/2401.08417 (2024) - [i30]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:
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages. CoRR abs/2405.05376 (2024) - [i29]Niyati Bafna, Kenton Murray, David Yarowsky:
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization. CoRR abs/2406.13718 (2024) - [i28]Nikhil Sharma, Kenton Murray, Ziang Xiao:
Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models. CoRR abs/2407.05502 (2024) - [i27]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:
Preliminary WMT24 Ranking of General MT Systems and LLMs. CoRR abs/2407.19884 (2024) - [i26]Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah:
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale. CoRR abs/2410.03115 (2024) - 2023
- [i25]Haoran Xu, Maha Elbayad, Kenton Murray, Jean Maillard, Vedanuj Goswami:
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. CoRR abs/2305.02176 (2023) - [i24]Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray:
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. CoRR abs/2305.13993 (2023) - [i23]Neha Verma, Kenton Murray, Kevin Duh:
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models. CoRR abs/2305.14230 (2023) - [i22]Tianjian Li, Kenton Murray:
Why Does Zero-Shot Cross-Lingual Generation Fail? An Explanation and a Solution. CoRR abs/2305.17325 (2023) - [i21]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:
MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR abs/2307.07049 (2023) - [i20]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.:
Linking Symptom Inventories using Semantic Textual Similarity. CoRR abs/2309.04607 (2023) - [i19]Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray:
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models. CoRR abs/2310.00840 (2023) - [i18]Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen:
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. CoRR abs/2311.02310 (2023) - 2022
- [i17]Suraj Nair, Eugene Yang, Dawn J. Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard:
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. CoRR abs/2201.08471 (2022) - [i16]Haoran Xu, Kenton Murray:
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer. CoRR abs/2204.13869 (2022) - [i15]Haoran Xu, Philipp Koehn, Kenton Murray:
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains. CoRR abs/2205.11416 (2022) - [i14]Shuyue Stella Li, Kenton Murray:
Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns. CoRR abs/2211.07628 (2022) - 2021
- [i13]Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton W. Murray:
Gradual Fine-Tuning for Low-Resource Domain Adaptation. CoRR abs/2103.02205 (2021) - [i12]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. CoRR abs/2104.05696 (2021) - [i11]Toan Q. Nguyen, Kenton Murray, David Chiang:
Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution. CoRR abs/2105.01691 (2021) - [i10]Haoran Xu, Benjamin Van Durme, Kenton W. Murray:
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. CoRR abs/2109.04588 (2021) - [i9]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:
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. CoRR abs/2109.06798 (2021) - [i8]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:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2019
- [i7]Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen, Walter J. Scheirer, David Chiang:
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation. CoRR abs/1910.06717 (2019) - [i6]Kenton Murray, Brian DuSell, David Chiang:
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. CoRR abs/1910.07134 (2019) - 2018
- [i5]Kenton Murray, David Chiang:
Correcting Length Bias in Neural Machine Translation. CoRR abs/1808.10006 (2018) - [i4]Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat:
An Empirical Exploration of Curriculum Learning for Neural Machine Translation. CoRR abs/1811.00739 (2018) - 2016
- [i3]Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, Daniel B. Neill:
Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. CoRR abs/1602.04393 (2016) - [i2]Kenton W. Murray, Jayant Krishnamurthy:
Probabilistic Neural Programs. CoRR abs/1612.00712 (2016) - 2015
- [i1]Kenton Murray, David Chiang:
Auto-Sizing Neural Networks: With Applications to n-gram Language Models. CoRR abs/1508.05051 (2015)
Coauthor Index
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