Large Language Models for Learner Assistance in Massive Open Online Courses: Challenges, Tools, and Approaches. - Jesus-Angel Del-Hoyo-Gabaldon; Eva García-López; Antonio García-Cabot; David de-Fitero-Dominguez; Mary Ellen Wiltrout; Jessica Sandland; Ana Bell (EcalLAC@AIED, 2024)

Distractor Generation Through Text-to-Text Transformer Models. - David de-Fitero-Dominguez; Eva García-Lopez; Antonio García-Cabot; Jesus-Angel Del-Hoyo-Gabaldon; Antonio Moreno-Cediel (IEEE Access, 2024)

Evaluating Large Language Models for automatic analysis of teacher simulations. - David de-Fitero-Dominguez; Mariano Albaladejo-González; Antonio García-Cabot; Eva García-Lopez; Antonio Moreno-Cediel; Erin Barno; Justin Reich (CoRR, 2024)

Enhanced automated code vulnerability repair using large language models. - David de-Fitero-Dominguez; Eva García-López; Antonio García-Cabot; José Javier Martínez-Herráiz (Eng. Appl. Artif. Intell., 2024)

Automatic dataset generation for automated program repair of bugs and vulnerabilities through SonarQube. - Jesus-Angel Del-Hoyo-Gabaldon; Antonio Moreno-Cediel; Eva García-Lopez; Antonio García-Cabot; David de-Fitero-Dominguez (SoftwareX, 2024)

Automated multiple-choice question generation in Spanish using neural language models. - David de-Fitero-Dominguez; Antonio García-Cabot; Eva García-López (Neural Comput. Appl., 2024)

Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data. - David de-Fitero-Dominguez; Antonio García-Cabot; Eva García-Lopez (CoRR, 2025)

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment. - Marcos Fuster-Pena; David de-Fitero-Dominguez; Antonio García-Cabot; Eva García-Lopez (CoRR, 2025)