Token-level and sequence-level loss smoothing for RNN language models. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (ACL (1), 2018)

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (CoNLL, 2018)

Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. - Maha Elbayad; Michael Ustaszewski; Emmanuelle Esperança-Rodier; Francis Brunet-Manquat; Jakob Verbeek; Laurent Besacier (COLING, 2020)

Depth-Adaptive Transformer. - Maha Elbayad; Jiatao Gu; Edouard Grave; Michael Auli (ICLR, 2020)

Efficient Wait-k Models for Simultaneous Machine Translation. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (INTERSPEECH, 2020)

ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020. - Maha Elbayad; Ha Nguyen; Fethi Bougares; Natalia A. Tomashenko; Antoine Caubrière; Benjamin Lecouteux; Yannick Estève; Laurent Besacier (IWSLT, 2020)

Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. - Maha Elbayad; Michael Ustaszewski; Emmanuelle Esperança-Rodier; Francis Brunet-Manquat; Laurent Besacier (CoRR, 2020)

Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation. (Une alternative aux modèles neuronaux séquence-à-séquence pour la traduction automatique). - Maha Elbayad (2020)

Findings of the IWSLT 2021 Evaluation Campaign. - Antonios Anastasopoulos; Ondrej Bojar; Jacob Bremerman; Roldano Cattoni; Maha Elbayad; Marcello Federico; Xutai Ma; Satoshi Nakamura 001; Matteo Negri; Jan Niehues; Juan Miguel Pino; Elizabeth Salesky; et al. (IWSLT, 2021)

Joint source-target encoding with pervasive attention. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (Mach. Transl., 2021)

Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation. - Maha Elbayad (EAMT, 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; et al. (IWSLT@ACL, 2022)

No Language Left Behind: Scaling Human-Centered Machine Translation. - Marta R. Costa-jussà; James Cross 003; Onur Çelebi; Maha Elbayad; Kenneth Heafield; Kevin Heffernan; Elahe Kalbassi; Janice Lam; Daniel Licht; Jean Maillard; Anna Y. Sun; Skyler Wang; et al. (CoRR, 2022)

Causes and Cures for Interference in Multilingual Translation. - Uri Shaham 002; Maha Elbayad; Vedanuj Goswami; Omer Levy; Shruti Bhosale (ACL (1), 2023)

Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. - Maha Elbayad; Anna Y. Sun; Shruti Bhosale (ACL (Findings), 2023)

Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. - Simeng Sun; Maha Elbayad; Anna Y. Sun; James Cross 003 (EACL, 2023)

Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. - Haoran Xu; Maha Elbayad; Kenton Murray; Jean Maillard; Vedanuj Goswami (EMNLP (Findings), 2023)

SeamlessM4T-Massively Multilingual & Multimodal Machine Translation. - 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; et al. (CoRR, 2023)

Seamless: Multilingual Expressive and Streaming Speech Translation. - 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; et al. (CoRR, 2023)

Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation. - Marta R. Costa-jussà; David Dale; Maha Elbayad; Bokai Yu (EAMT (1), 2024)

SpiRit-LM: Interleaved Spoken and Written Language Model. - 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 001; et al. (CoRR, 2024)

Large Concept Models: Language Modeling in a Sentence Representation Space. - LCM team; Loïc Barrault; Paul-Ambroise Duquenne; Maha Elbayad; Artyom Kozhevnikov; Belen Alastruey; Pierre Andrews; Mariano Coria; Guillaume Couairon; Marta R. Costa-jussà; David Dale; Hady Elsahar; et al. (CoRR, 2024)

Merging Text Transformer Models from Different Initializations. - Neha Verma 001; Maha Elbayad (Trans. Mach. Learn. Res., 2024)

Less Mature is More Adaptable for Sentence-level Language Modeling. - Abhilasha Sancheti; David Dale; Artyom Kozhevnikov; Maha Elbayad (ACL (1), 2025)

Interference Matrix: Quantifying Cross-Lingual Interference in Transformer Encoders. - Belen Alastruey; João Maria Janeiro; Alexandre Allauzen; Maha Elbayad; Loïc Barrault; Marta R. Costa-jussà (CoRR, 2025)