| 2026 | LREC | Linguistic Knowledge-Infused Fine-Tuning for Mitigating Gender Bias in Machine Translation. | Luis Ernesto Garcia-Estrada, Audrey Mash, Carlos Escolano, Maite Melero, Christine Basta |
| 2026 | LREC | Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition. | Aleix Sant, Jordi Luque, Carlos Escolano |
| 2025 | IJCNLP | Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization. | Iigo Pikabea, Iaki Lacunza, Oriol Pareras Velasco, Carlos Escolano, Aitor Gonzalez-Agirre, Javier Hernando, Marta Villegas |
| 2025 | NAACL | MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation. | Javier Garca Gilabert, Carlos Escolano, Audrey Mash, Xixian Liao, Maite Melero |
| 2024 | COLING | Unmasking Biases: Exploring Gender Bias in English-Catalan Machine Translation through Tokenization Analysis and Novel Dataset. | Audrey Mash, Carlos Escolano, Aleix Sant, Maite Melero, Francesca de Luca Fornaciari |
| 2024 | EAMT | ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation. | Javier Garca Gilabert, Carlos Escolano, Marta R. Costa-juss |
| 2023 | EMNLP | Toxicity in Multilingual Machine Translation at Scale. | Marta R. Costa-juss, Eric Michael Smith, Christophe Ropers, Daniel Licht, Jean Maillard, Javier Ferrando, Carlos Escolano |
| 2023 | Interspeech | Analysis of Acoustic information in End-to-End Spoken Language Translation. | Gerard Sant, Carlos Escolano |
| 2022 | AAAI | Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. | Marta R. Costa-juss, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova |
| 2022 | EMNLP | Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer. | Javier Ferrando, Gerard I. Gllego, Belen Alastruey, Carlos Escolano, Marta R. Costa-juss |
| 2021 | ASRU | Enabling Zero-Shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders. | Carlos Escolano, Marta R. Costa-juss, Jos A. R. Fonollosa, Carlos Segura |
| 2021 | EACL | Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. | Carlos Escolano, Marta R. Costa-juss, Jos A. R. Fonollosa, Mikel Artetxe |
| 2021 | RANLP | Enriching the Transformer with Linguistic Factors for Low-Resource Machine Translation. | Jordi Armengol-Estap, Marta R. Costa-juss, Carlos Escolano |
| 2019 | ACL | From Bilingual to Multilingual Neural Machine Translation by Incremental Training. | Carlos Escolano, Marta R. Costa-juss, Jos A. R. Fonollosa |
| 2019 | EMNLP | Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations. | Carlos Escolano, Marta R. Costa-juss, Elora Lacroux, Pere-Pau Vzquez |
| 2017 | EMNLP | Byte-based Neural Machine Translation. | Marta R. Costa-juss, Carlos Escolano, Jos A. R. Fonollosa |
| 2009 | ICRA | Human brain-teleoperated robot between remote places. | Carlos Escolano, Javier Mauricio Antelis, Javier Minguez |