Javier Ferrando

According to our database, Javier Ferrando authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Primer on the Inner Workings of Transformer-based Language Models.

Javier Ferrando, Gabriele Sarti, Arianna Bisazza, Marta R. Costa-jussà

CoRR, 2024

LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models.

Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita

CoRR, 2024

Information Flow Routes: Automatically Interpreting Language Models at Scale.

Javier Ferrando, Elena Voita

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task.

Javier Ferrando, Marta R. Costa-jussà

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Neurons in Large Language Models: Dead, N-gram, Positional.

Elena Voita, Javier Ferrando, Christoforos Nalmpantis

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Automating Behavioral Testing in Machine Translation.

Javier Ferrando, Matthias Sperber, Hendra Setiawan, Dominic Telaar, Sasa Hasan

Proceedings of the Eighth Conference on Machine Translation, 2023

Toxicity in Multilingual Machine Translation at Scale.

Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Jean Maillard, Javier Ferrando, Carlos Escolano

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Explaining How Transformers Use Context to Build Predictions.

Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Toxicity in Multilingual Machine Translation at Scale.

Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Javier Ferrando, Carlos Escolano

CoRR, 2022

Measuring the Mixing of Contextual Information in the Transformer.

Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer.

Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, Marta R. Costa-jussà

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Locality of Attention in Direct Speech Translation.

Belen Alastruey, Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters.

Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach.

Carlos Escolano, Ioannis Tsiamas, Christine Basta, Javier Ferrando, Marta R. Costa-jussà, José A. R. Fonollosa

Proceedings of the Sixth Conference on Machine Translation, 2021

Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions.

Javier Ferrando, Marta R. Costa-jussà

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters.

Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova

CoRR, 2020

Improving Accuracy and Speeding Up Document Image Classification Through Parallel Systems.

Javier Ferrando, Juan Luis Domínguez, Jordi Torres, Raúl García, David García, Daniel Garrido, Jordi Cortada, Mateo Valero

Proceedings of the Computational Science - ICCS 2020, 2020