| 2025 | ACL | Less Mature is More Adaptable for Sentence-level Language Modeling. | Abhilasha Sancheti, David Dale, Artyom Kozhevnikov, Maha Elbayad |
| 2025 | EMNLP | Mixture of Languages: Improved Multilingual Encoders Through Language Grouping. | Joo Maria Janeiro, Belen Alastruey, Francisco Massa, Maha Elbayad, Benjamin Piwowarski, Patrick Gallinari, Loc Barrault |
| 2024 | EAMT | Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation. | Marta R. Costa-juss, David Dale, Maha Elbayad, Bokai Yu |
| 2023 | ACL | Causes and Cures for Interference in Multilingual Translation. | Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale |
| 2023 | ACL | Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. | Maha Elbayad, Anna Y. Sun, Shruti Bhosale |
| 2023 | EACL | Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. | Simeng Sun, Maha Elbayad, Anna Y. Sun, James Cross |
| 2023 | EMNLP | Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. | Haoran Xu, Maha Elbayad, Kenton Murray, Jean Maillard, Vedanuj Goswami |
| 2022 | EAMT | Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation. | Maha Elbayad |
| 2020 | COLING | Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. | Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperana-Rodier, Francis Brunet-Manquat, Jakob Verbeek, Laurent Besacier |
| 2020 | ICLR | Depth-Adaptive Transformer. | Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli |
| 2020 | Interspeech | Efficient Wait-k Models for Simultaneous Machine Translation. | Maha Elbayad, Laurent Besacier, Jakob Verbeek |
| 2018 | ACL | Token-level and sequence-level loss smoothing for RNN language models. | Maha Elbayad, Laurent Besacier, Jakob Verbeek |
| 2018 | CoNLL | Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. | Maha Elbayad, Laurent Besacier, Jakob Verbeek |