Alberto Muñoz-Ortiz, Verena Blaschke and Barbara Plank. Evaluating Pixel Language Models on Non-Standardized Languages. In COLING 2025.

Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, and David Vilares. Contrasting Linguistic Patterns in Human and LLM-Generated News Text. In Artificial Intelligence Review 57, 265 (2024).

Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, and David Vilares. Assessment of Pre-Trained Models Across Languages and Grammars. In IJCNLP-AACL 2023, Bali, Indonesia.
Alberto Muñoz-Ortiz, and David Vilares. LyS A Coruña at GUA-SPA@IberLEF2023: Multi-Task Learning with Large Language Model Encoders for Guarani-Spanish Code Switching Analysis. In IberLEF 2023, Jaén, Spain.
Alberto Muñoz-Ortiz, and David Vilares. Another Dead End for Morphological Tags? Perturbed Inputs and Parsing. In Findings of the Association for Computational Linguistics: ACL 2023, pages 7301–7310, Toronto, Canada. Association for Computational Linguistics.

Alberto Muñoz-Ortiz, Mark Anderson, David Vilares, and Carlos Gómez-Rodríguez. Parsing Linearizations Appreciate PoS Tags – but Some Are Fussy about Errors. In IJCNLP-AACL 2022, Online.
Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, and David Vilares. Cross-lingual Inflection as a Data Augmentation Method. In Third Workshop on Insights from Negative Results in NLP, pages 54–61, Dublin, Ireland. Association for Computational Linguistics.

Alberto Muñoz-Ortiz, Michalina Strzyz, and David Vilares. Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing. In RANLP 2021, pages 978–988, Held Online. INCOMA Ltd.