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ORCIDJavier Ferrando
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2020 – today
- 2024
[c13]Elena Voita, Javier Ferrando, Christoforos Nalmpantis:
Neurons in Large Language Models: Dead, N-gram, Positional. ACL (Findings) 2024: 1288-1301- [c12]Javier Ferrando, Marta R. Costa-jussà:
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task. EMNLP (Findings) 2024: 10115-10125 - [c11]Javier Ferrando, Elena Voita:
Information Flow Routes: Automatically Interpreting Language Models at Scale. EMNLP 2024: 17432-17445 - [i13]Javier Ferrando, Elena Voita:
Information Flow Routes: Automatically Interpreting Language Models at Scale. CoRR abs/2403.00824 (2024) - [i12]Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita:
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. CoRR abs/2404.07004 (2024) - [i11]Javier Ferrando, Gabriele Sarti
, Arianna Bisazza, Marta R. Costa-jussà:
A Primer on the Inner Workings of Transformer-based Language Models. CoRR abs/2405.00208 (2024) - 2023
- [c10]Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà:
Explaining How Transformers Use Context to Build Predictions. ACL (1) 2023: 5486-5513 - [c9]Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Jean Maillard, Javier Ferrando, Carlos Escolano:
Toxicity in Multilingual Machine Translation at Scale. EMNLP (Findings) 2023: 9570-9586 - [c8]Javier Ferrando, Matthias Sperber, Hendra Setiawan, Dominic Telaar, Sasa Hasan:
Automating Behavioral Testing in Machine Translation. WMT 2023: 1014-1030 - [i10]Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà:
Explaining How Transformers Use Context to Build Predictions. CoRR abs/2305.12535 (2023) - [i9]Javier Ferrando, Matthias Sperber, Hendra Setiawan, Dominic Telaar, Sasa Hasan:
Automating Behavioral Testing in Machine Translation. CoRR abs/2309.02553 (2023) - [i8]Elena Voita, Javier Ferrando, Christoforos Nalmpantis:
Neurons in Large Language Models: Dead, N-gram, Positional. CoRR abs/2309.04827 (2023) - 2022
- [c7]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: 11855-11863 - [c6]Belen Alastruey, Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà:
On the Locality of Attention in Direct Speech Translation. ACL (student) 2022: 402-412 - [c5]Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà:
Measuring the Mixing of Contextual Information in the Transformer. EMNLP 2022: 8698-8714 - [c4]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: 8756-8769 - [i7]Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà:
Measuring the Mixing of Contextual Information in the Transformer. CoRR abs/2203.04212 (2022) - [i6]Belen Alastruey, Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà:
On the Locality of Attention in Direct Speech Translation. CoRR abs/2204.09028 (2022) - [i5]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 abs/2205.11631 (2022) - [i4]Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Javier Ferrando, Carlos Escolano:
Toxicity in Multilingual Machine Translation at Scale. CoRR abs/2210.03070 (2022) - 2021
- [c3]Javier Ferrando, Marta R. Costa-jussà:
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions. EMNLP (Findings) 2021: 434-443 - [c2]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: 117-122 - [i3]Javier Ferrando, Marta R. Costa-jussà:
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions. CoRR abs/2109.05853 (2021) - 2020
- [c1]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: 387-400 - [i2]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 abs/2006.09141 (2020) - [i1]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 abs/2012.13176 (2020)
Coauthor Index
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