Javier Ferrando

34 papers A* 5Journal 19Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Language Models Can Explain Visual Features via Steering.
CoRR
Javier Ferrando, Enrique Lopez-Cuena, Pablo Agustin Martin-Torres, Daniel Hinjos, Anna Arias-Duart, Dario Garcia-Gasulla
2026 J jnl
Putting a Face to Forgetting: Continual Learning meets Mechanistic Interpretability.
CoRR
Sergi Masip, Gido M. van de Ven, Javier Ferrando, Tinne Tuytelaars
2026 J jnl
Weight space Detection of Backdoors in LoRA Adapters.
CoRR
David Puertolas Merenciano, Ekaterina Vasyagina, Raghav Dixit, Kevin Zhu, Ruizhe Li, Javier Ferrando, Maheep Chaudhary
2025 A* conf
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models.
ICLR
Javier Ferrando, Oscar Balcells Obeso, Senthooran Rajamanoharan, Neel Nanda
2025 J jnl
Real-Time Detection of Hallucinated Entities in Long-Form Generation.
CoRR
Oscar Obeso, Andy Arditi, Javier Ferrando, Joshua Freeman, Cameron Holmes, Neel Nanda
2024 J jnl
A Primer on the Inner Workings of Transformer-based Language Models.
CoRR
Javier Ferrando, Gabriele Sarti, Arianna Bisazza, Marta R. Costa-jussà
2024 J jnl
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models.
CoRR
Javier Ferrando, Oscar Obeso, Senthooran Rajamanoharan, Neel Nanda
2024 A* conf
Information Flow Routes: Automatically Interpreting Language Models at Scale.
EMNLP
Javier Ferrando, Elena Voita
2024 J jnl
Information Flow Routes: Automatically Interpreting Language Models at Scale.
CoRR
Javier Ferrando, Elena Voita
2024 — conf
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models.
ACL (3)
Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita
2024 J jnl
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models.
CoRR
Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita
2024 — conf
Neurons in Large Language Models: Dead, N-gram, Positional.
ACL (Findings)
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
2024 — conf
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task.
EMNLP (Findings)
Javier Ferrando, Marta R. Costa-jussà
2024 J jnl
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task.
CoRR
Javier Ferrando, Marta R. Costa-jussà
2023 — conf
Automating Behavioral Testing in Machine Translation.
WMT
Javier Ferrando, Matthias Sperber, Hendra Setiawan, Dominic Telaar, Sasa Hasan
2023 J jnl
Automating Behavioral Testing in Machine Translation.
CoRR
Javier Ferrando, Matthias Sperber, Hendra Setiawan, Dominic Telaar, Sasa Hasan
2023 — conf
Explaining How Transformers Use Context to Build Predictions.
ACL (1)
Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà
2023 J jnl
Explaining How Transformers Use Context to Build Predictions.
CoRR
Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà
2023 J jnl
Neurons in Large Language Models: Dead, N-gram, Positional.
CoRR
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
2023 — conf
Toxicity in Multilingual Machine Translation at Scale.
EMNLP (Findings)
Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Jean Maillard, Javier Ferrando, Carlos Escolano
2022 A* conf
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters.
AAAI
Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
2022 A* conf
Measuring the Mixing of Contextual Information in the Transformer.
EMNLP
Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
2022 J jnl
Measuring the Mixing of Contextual Information in the Transformer.
CoRR
Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
2022 — conf
On the Locality of Attention in Direct Speech Translation.
ACL (student)
Belen Alastruey, Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
2022 J jnl
On the Locality of Attention in Direct Speech Translation.
CoRR
Belen Alastruey, Javier Ferrando, Gerard I. Gállego, Marta R. Costa-jussà
2022 A* conf
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer.
EMNLP
Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, Marta R. Costa-jussà
2022 J jnl
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer.
CoRR
Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, Marta R. Costa-jussà
2022 J jnl
Toxicity in Multilingual Machine Translation at Scale.
CoRR
Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Javier Ferrando, Carlos Escolano
2021 — conf
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions.
EMNLP (Findings)
Javier Ferrando, Marta R. Costa-jussà
2021 J jnl
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions.
CoRR
Javier Ferrando, Marta R. Costa-jussà
2021 — conf
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach.
WMT@EMNLP
Carlos Escolano, Ioannis Tsiamas, Christine Basta, Javier Ferrando, Marta R. Costa-jussà, José A. R. Fonollosa
2020 J jnl
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters.
CoRR
Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
2020 — conf
Improving Accuracy and Speeding Up Document Image Classification Through Parallel Systems.
ICCS (2)
Javier Ferrando, Juan Luis Domínguez, Jordi Torres, Raúl García, David García, Daniel Garrido, Jordi Cortada, Mateo Valero
2020 J jnl
Improving accuracy and speeding up Document Image Classification through parallel systems.
CoRR
Javier Ferrando, Juan Luis Domínguez, Jordi Torres, Raúl García, David García, Daniel Garrido, Jordi Cortada, Mateo Valero