Javier Ferrando

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Machine Translation

Contextual Information

Brazilian Portuguese

Top Venues

EMNLP (Findings)

Publications

Elena Voita, Javier Ferrando, Christoforos Nalmpantis
Neurons in Large Language Models: Dead, N-gram, Positional. ACL (Findings) (2024)
Javier Ferrando, Gabriele Sarti, Arianna Bisazza, Marta R. Costa-jussà
A Primer on the Inner Workings of Transformer-based Language Models. CoRR (2024)
Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. CoRR (2024)
Javier Ferrando, Elena Voita
Information Flow Routes: Automatically Interpreting Language Models at Scale. CoRR (2024)
Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà
Explaining How Transformers Use Context to Build Predictions. CoRR (2023)
Marta R. Costa-jussà, Eric Smith, Christophe Ropers, Daniel Licht, Jean Maillard, Javier Ferrando, Carlos Escolano
Toxicity in Multilingual Machine Translation at Scale. EMNLP (Findings) (2023)
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
Neurons in Large Language Models: Dead, N-gram, Positional. CoRR (2023)
Javier Ferrando, Matthias Sperber, Hendra Setiawan, Dominic Telaar, Sasa Hasan
Automating Behavioral Testing in Machine Translation. WMT (2023)
Javier Ferrando, Matthias Sperber, Hendra Setiawan, Dominic Telaar, Sasa Hasan
Automating Behavioral Testing in Machine Translation. CoRR (2023)
Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà
Explaining How Transformers Use Context to Build Predictions. ACL (1) (2023)
Marta R. Costa-jussà, Eric Smith, Christophe Ropers, Daniel Licht, Javier Ferrando, Carlos Escolano
Toxicity in Multilingual Machine Translation at Scale. CoRR (2022)
Belen Alastruey, Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
On the Locality of Attention in Direct Speech Translation. ACL (student) (2022)
Belen Alastruey, Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
On the Locality of Attention in Direct Speech Translation. CoRR (2022)
Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
Measuring the Mixing of Contextual Information in the Transformer. CoRR (2022)
Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
Measuring the Mixing of Contextual Information in the Transformer. EMNLP (2022)
Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, Marta R. Costa-jussà
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer. EMNLP (2022)
Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, Marta R. Costa-jussà
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer. CoRR (2022)
Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. AAAI (2022)
Javier Ferrando, Marta R. Costa-jussà
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions. CoRR (2021)
Javier Ferrando, Marta R. Costa-jussà
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions. EMNLP (Findings) (2021)
Carlos Escolano, Ioannis Tsiamas, Christine Basta, Javier Ferrando, Marta R. Costa-jussà, José A. R. Fonollosa
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach. WMT@EMNLP (2021)
Javier Ferrando, Juan Luis Domínguez, Jordi Torres, Raúl García, David García, Daniel Garrido, Jordi Cortada, Mateo Valero
Improving accuracy and speeding up Document Image Classification through parallel systems. CoRR (2020)
Javier Ferrando, Juan Luis Domínguez, Jordi Torres, Raúl García, David García, Daniel Garrido, Jordi Cortada, Mateo Valero
Improving Accuracy and Speeding Up Document Image Classification Through Parallel Systems. ICCS (2) (2020)
Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters. CoRR (2020)