A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings. - Iker García-Ferrero; Rodrigo Agerri; German Rigau (CoRR, 2020)

Benchmarking Meta-embeddings: What Works and What Does Not. - Iker García-Ferrero; Rodrigo Agerri; German Rigau (EMNLP (Findings), 2021)

Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings. - Iker García-Ferrero; Rodrigo Agerri; German Rigau (EMNLP (Findings), 2022)

Acquisition and Exploitation of Cross-Lingual Knowledge. - Iker García-Ferrero (PLN-DS@SEPLN, 2022)

This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models. - Iker García-Ferrero; Begoña Altuna; Javier Álvez; Itziar Gonzalez-Dios; German Rigau (EMNLP, 2023)

T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks. - Iker García-Ferrero; Rodrigo Agerri; German Rigau (EMNLP (Findings), 2023)

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark. - Oscar Sainz; Jon Ander Campos; Iker García-Ferrero; Julen Etxaniz; Oier Lopez de Lacalle; Eneko Agirre (EMNLP (Findings), 2023)

IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases. - Iker García-Ferrero; Jon Ander Campos; Oscar Sainz; Ander Salaberria; Dan Roth 001 (SemEval@ACL, 2023)

HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine. - Rodrigo Agerri; Iñigo Alonso 001; Aitziber Atutxa; Ander Berrondo; Ainara Estarrona; Iker García-Ferrero; Iakes Goenaga; Koldo Gojenola; Maite Oronoz; Igor Perez-Tejedor; German Rigau; Anar Yeginbergenova (SEPLN (Projects and Demonstrations), 2023)

MedMT5: An Open-Source Multilingual Text-to-Text LLM for the Medical Domain. - Iker García-Ferrero; Rodrigo Agerri; Aitziber Atutxa Salazar; Elena Cabrio; Iker de la Iglesia; Alberto Lavelli; Bernardo Magnini; Benjamin Molinet; Johanna Ramirez-Romero; German Rigau; Jose Maria Villa-Gonzalez; Serena Villata; et al. (LREC/COLING, 2024)

Data Contamination Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 2024)

GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction. - Oscar Sainz; Iker García-Ferrero; Rodrigo Agerri; Oier Lopez de Lacalle; German Rigau; Eneko Agirre (ICLR, 2024)

HiTZ@Disargue: Few-shot Learning and Argumentation to Detect and Fight Misinformation in Social Media. - Rodrigo Agerri; Jeremy Barnes 001; Jaione Bengoetxea; Blanca Calvo Figueras; Joseba Fernandez de Landa; Iker García-Ferrero; Olia Toporkov; Irune Zubiaga (SEPLN (Projects and Demonstrations), 2024)

Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain. - Iker García-Ferrero; Rodrigo Agerri; Aitziber Atutxa Salazar; Elena Cabrio; Iker de la Iglesia; Alberto Lavelli; Bernardo Magnini; Benjamin Molinet; Johanna Ramirez-Romero; German Rigau; Jose Maria Villa-Gonzalez; Serena Villata; et al. (CoRR, 2024)

NoticIA: A Clickbait Article Summarization Dataset in Spanish. - Iker García-Ferrero; Begoña Altuna (Proces. del Leng. Natural, 2024)

GUIDEX: Guided Synthetic Data Generation for Zero-Shot Information Extraction. - Neil De La Fuente; Oscar Sainz; Iker García-Ferrero; Eneko Agirre (ACL (Findings), 2025)

Cross-Lingual Transfer for Low-Resource Natural Language Processing. - Iker García-Ferrero (CoRR, 2025)

Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque. - Oscar Sainz; Naiara Pérez; Julen Etxaniz; Joseba Fernandez de Landa; Itziar Aldabe; Iker García-Ferrero; Aimar Zabala; Ekhi Azurmendi; German Rigau; Eneko Agirre; Mikel Artetxe; Aitor Soroa (CoRR, 2025)