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 (ICCS (2), 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)

Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions. - Javier Ferrando; Marta R. Costa-jussà (EMNLP (Findings), 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 (WMT@EMNLP, 2021)

Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. - Marta R. Costa-jussà; Carlos Escolano; Christine Basta; Javier Ferrando; Roser Batlle; Ksenia Kharitonova (AAAI, 2022)

On the Locality of Attention in Direct Speech Translation. - Belen Alastruey; Javier Ferrando; Gerard I. Gállego; Marta R. Costa-jussà (ACL (student), 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 (EMNLP, 2022)

Measuring the Mixing of Contextual Information in the Transformer. - Javier Ferrando; Gerard I. Gállego; Marta R. Costa-jussà (EMNLP, 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)

Explaining How Transformers Use Context to Build Predictions. - Javier Ferrando; Gerard I. Gállego; Ioannis Tsiamas; Marta R. Costa-jussà (ACL (1), 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 (EMNLP (Findings), 2023)

Automating Behavioral Testing in Machine Translation. - Javier Ferrando; Matthias Sperber; Hendra Setiawan; Dominic Telaar; Sasa Hasan (WMT, 2023)

Neurons in Large Language Models: Dead, N-gram, Positional. - Elena Voita; Javier Ferrando; Christoforos Nalmpantis (ACL (Findings), 2024)

On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task. - Javier Ferrando; Marta R. Costa-jussà (EMNLP (Findings), 2024)

Information Flow Routes: Automatically Interpreting Language Models at Scale. - Javier Ferrando; Elena Voita (EMNLP, 2024)

LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. - Igor Tufanov; Karen Hambardzumyan; Javier Ferrando; Elena Voita (CoRR, 2024)

A Primer on the Inner Workings of Transformer-based Language Models. - Javier Ferrando; Gabriele Sarti; Arianna Bisazza; Marta R. Costa-jussà (CoRR, 2024)

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models. - Javier Ferrando; Oscar Balcells Obeso; Senthooran Rajamanoharan; Neel Nanda (ICLR, 2025)