Analyzing the Limitations of Cross-lingual Word Embedding Mappings. - Aitor Ormazabal; Mikel Artetxe; Gorka Labaka; Aitor Soroa; Eneko Agirre (ACL (1), 2019)

Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring. - Aitor Ormazabal; Mikel Artetxe; Aitor Soroa; Gorka Labaka; Eneko Agirre (ACL/IJCNLP (1), 2021)

Principled Paraphrase Generation with Parallel Corpora. - Aitor Ormazabal; Mikel Artetxe; Aitor Soroa; Gorka Labaka; Eneko Agirre (ACL (1), 2022)

PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation. - Aitor Ormazabal; Mikel Artetxe; Manex Agirrezabal; Aitor Soroa; Eneko Agirre (EMNLP (Findings), 2022)

CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. - Aitor Ormazabal; Mikel Artetxe; Eneko Agirre (EMNLP, 2023)

Erato: Automatizing Poetry Evaluation. - Manex Agirrezabal; Hugo Gonçalo Oliveira; Aitor Ormazabal (EPIA (2), 2023)

Latxa: An Open Language Model and Evaluation Suite for Basque. - Julen Etxaniz; Oscar Sainz; Naiara Miguel; Itziar Aldabe; German Rigau; Eneko Agirre; Aitor Ormazabal; Mikel Artetxe; Aitor Soroa (ACL (1), 2024)

IKER-GAITU: Research on Language Technology for Basque and Other Low-Resource Languages. - Eneko Agirre; Itziar Aldabe; Xabier Arregi; Mikel Artetxe; Unai Atutxa; Ekhi Azurmendi; Iker de la Iglesia; Julen Etxaniz; Víctor García Romillo; Inma Hernáez Rioja; Asier Herranz; Mikel Iruskieta; et al. (SEPLN (Projects and Demonstrations), 2024)

Latxa: An Open Language Model and Evaluation Suite for Basque. - Julen Etxaniz; Oscar Sainz; Naiara Pérez; Itziar Aldabe; German Rigau; Eneko Agirre; Aitor Ormazabal; Mikel Artetxe; Aitor Soroa (CoRR, 2024)

Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. - Aitor Ormazabal; Che Zheng; Cyprien de Masson d'Autume; Dani Yogatama; Deyu Fu; Donovan Ong; Eric Chen; Eugenie Lamprecht; Hai Pham; Isaac Ong; Kaloyan Aleksiev; Lei Li 039; et al. (CoRR, 2024)

Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. - Piotr Padlewski; Max Bain; Matthew Henderson; Zhongkai Zhu; Nishant Relan; Hai Pham; Donovan Ong; Kaloyan Aleksiev; Aitor Ormazabal; Samuel Phua; Ethan Yeo; Eugenie Lamprecht; et al. (CoRR, 2024)

Improving the Efficiency of Visually Augmented Language Models. - Paula Ontalvilla; Aitor Ormazabal; Gorka Azkune (COLING, 2025)