Plataforma de exploración de la Composición Semántica a partir de Modelos de Lenguaje pre-entrenados y embeddings estáticos (Platform for exploring Semantic Composition from pre-trained Language Models and static embeddings). - Adrián Ghajari; Víctor Fresno; Enrique Amigó (SEPLN (Projects and Demonstrations), 2022)

LyricSIM: A novel dataset and benchmark for similarity detection in Spanish song lyrics. - Alejandro Benito-Santos; Adrián Ghajari; Pedro Hernández; Víctor Fresno; Salvador Ros 001; Elena González-Blanco (Proces. del Leng. Natural, 2023)

Querying the Depths: Unveiling the Strengths and Struggles of Large Language Models in SPARQL Generation. - Adrián Ghajari; Salvador Ros 001; Álvaro Pérez 001 (Proces. del Leng. Natural, 2024)

Robust Estimation of Population-Level Effects in Repeated-Measures NLP Experimental Designs. - Alejandro Benito-Santos; Adrián Ghajari; Víctor Fresno (ACL (1), 2025)

Test-driving information theory-based compositional distributional semantics: A case study on Spanish song lyrics. - Adrián Ghajari; Alejandro Benito-Santos; Salvador Ros 001; Víctor Fresno; Elena González-Blanco (Knowl. Based Syst., 2025)