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Maha Elbayad
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2020 – today
- 2024
- [c14]Marta R. Costa-jussà, David Dale, Maha Elbayad, Bokai Yu:
Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation. EAMT (1) 2024: 360-372 - [i16]Tu Anh Nguyen, Benjamin Muller, Bokai Yu, Marta R. Costa-jussà, Maha Elbayad, Sravya Popuri, Paul-Ambroise Duquenne, Robin Algayres, Ruslan Mavlyutov, Itai Gat, Gabriel Synnaeve, Juan Pino, Benoît Sagot, Emmanuel Dupoux:
SpiRit-LM: Interleaved Spoken and Written Language Model. CoRR abs/2402.05755 (2024) - [i15]Neha Verma, Maha Elbayad:
Merging Text Transformer Models from Different Initializations. CoRR abs/2403.00986 (2024) - 2023
- [c13]Maha Elbayad, Anna Y. Sun, Shruti Bhosale:
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. ACL (Findings) 2023: 14237-14253 - [c12]Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale:
Causes and Cures for Interference in Multilingual Translation. ACL (1) 2023: 15849-15863 - [c11]Simeng Sun, Maha Elbayad, Anna Y. Sun, James Cross:
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. EACL 2023: 1505-1519 - [c10]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 - [i14]Simeng Sun, Maha Elbayad, Anna Y. Sun, James Cross:
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. CoRR abs/2302.03528 (2023) - [i13]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) - [i12]Seamless Communication, Loïc Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Paul-Ambroise Duquenne, Hady Elsahar, Hongyu Gong, Kevin Heffernan, John Hoffman, Christopher Klaiber, Pengwei Li, Daniel Licht, Jean Maillard, Alice Rakotoarison, Kaushik Ram Sadagopan, Guillaume Wenzek, Ethan Ye, Bapi Akula, Peng-Jen Chen, Naji El Hachem, Brian Ellis, Gabriel Mejia Gonzalez, Justin Haaheim, Prangthip Hansanti, Russ Howes, Bernie Huang, Min-Jae Hwang, Hirofumi Inaguma, Somya Jain, Elahe Kalbassi, Amanda Kallet, Ilia Kulikov, Janice Lam, Daniel Li, Xutai Ma, Ruslan Mavlyutov, Benjamin N. Peloquin, Mohamed Ramadan, Abinesh Ramakrishnan, Anna Y. Sun, Kevin Tran, Tuan Tran, Igor Tufanov, Vish Vogeti, Carleigh Wood, Yilin Yang, Bokai Yu, Pierre Andrews, Can Balioglu, Marta R. Costa-jussà, Onur Celebi, Maha Elbayad, Cynthia Gao, Francisco Guzmán, Justine Kao, Ann Lee, Alexandre Mourachko, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang:
SeamlessM4T-Massively Multilingual & Multimodal Machine Translation. CoRR abs/2308.11596 (2023) - [i11]Marta R. Costa-jussà, David Dale, Maha Elbayad, Bokai Yu:
Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation. CoRR abs/2311.06532 (2023) - [i10]Loïc Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Mark Duppenthaler, Paul-Ambroise Duquenne, Brian Ellis, Hady Elsahar, Justin Haaheim, John Hoffman, Min-Jae Hwang, Hirofumi Inaguma, Christopher Klaiber, Ilia Kulikov, Pengwei Li, Daniel Licht, Jean Maillard, Ruslan Mavlyutov, Alice Rakotoarison, Kaushik Ram Sadagopan, Abinesh Ramakrishnan, Tuan Tran, Guillaume Wenzek, Yilin Yang, Ethan Ye, Ivan Evtimov, Pierre Fernandez, Cynthia Gao, Prangthip Hansanti, Elahe Kalbassi, Amanda Kallet, Artyom Kozhevnikov, Gabriel Mejia Gonzalez, Robin San Roman, Christophe Touret, Corinne Wong, Carleigh Wood, Bokai Yu, Pierre Andrews, Can Balioglu, Peng-Jen Chen, Marta R. Costa-jussà, Maha Elbayad, Hongyu Gong, Francisco Guzmán, Kevin Heffernan, Somya Jain, Justine Kao, Ann Lee, Xutai Ma, Alexandre Mourachko, Benjamin N. Peloquin, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Anna Y. Sun, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang, Mary Williamson:
Seamless: Multilingual Expressive and Streaming Speech Translation. CoRR abs/2312.05187 (2023) - 2022
- [c9]Maha Elbayad:
Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation. EAMT 2022: 5-6 - [c8]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
Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL 2022: 98-157 - [i9]Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Y. Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loïc Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang:
No Language Left Behind: Scaling Human-Centered Machine Translation. CoRR abs/2207.04672 (2022) - [i8]Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale:
Causes and Cures for Interference in Multilingual Translation. CoRR abs/2212.07530 (2022) - [i7]Maha Elbayad, Anna Y. Sun, Shruti Bhosale:
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. CoRR abs/2212.07571 (2022) - 2021
- [j1]Maha Elbayad
Joint source-target encoding with pervasive attention. Mach. Transl. 35(4): 637-659 (2021) - [c7]Antonios Anastasopoulos, Ondrej Bojar, Jacob Bremerman, Roldano Cattoni, Maha Elbayad, Marcello Federico, Xutai Ma, Satoshi Nakamura, Matteo Negri, Jan Niehues
Findings of the IWSLT 2021 Evaluation Campaign. IWSLT 2021: 1-29 - 2020
- [b1]Maha Elbayad:
Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation. (Une alternative aux modèles neuronaux séquence-à-séquence pour la traduction automatique). Grenoble Alpes University, France, 2020 - [c6]Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperança-Rodier, Francis Brunet-Manquat, Jakob Verbeek, Laurent Besacier:
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. COLING 2020: 5047-5058 - [c5]Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli:
Depth-Adaptive Transformer. ICLR 2020 - [c4]Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Efficient Wait-k Models for Simultaneous Machine Translation. INTERSPEECH 2020: 1461-1465 - [c3]Maha Elbayad, Ha Nguyen, Fethi Bougares, Natalia A. Tomashenko
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020. IWSLT 2020: 35-43 - [i6]Maha Elbayad
Efficient Wait-k Models for Simultaneous Machine Translation. CoRR abs/2005.08595 (2020) - [i5]Maha Elbayad
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020. CoRR abs/2005.11861 (2020) - [i4]Maha Elbayad
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. CoRR abs/2006.00814 (2020)
2010 – 2019
- 2019
- [i3]Maha Elbayad
Depth-Adaptive Transformer. CoRR abs/1910.10073 (2019) - 2018
- [c2]Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Token-level and sequence-level loss smoothing for RNN language models. ACL (1) 2018: 2094-2103 - [c1]Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. CoNLL 2018: 97-107 - [i2]Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Token-level and sequence-level loss smoothing for RNN language models. CoRR abs/1805.05062 (2018) - [i1]Maha Elbayad
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. CoRR abs/1808.03867 (2018)
Coauthor Index
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last updated on 2024-10-17 20:33 CEST by the dblp team
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