Dr Arturo Montejo Ráez

Dr Arturo Montejo Ráez

Arturo Montejo Ráez ORCID logo holds a PhD in Computer Science with European mention from the University of Granada in 2006. He is a lecturer and researcher at the University of Jaén (Spain) and member of the SINAI research group in Intelligent Information Access Systems at the University of Jaén, where he is Assistant Professor. He is a member of the Advisory Board of the Spanish Society of Natural Language Processing (SEPLN). He is member of the Spanish Delegation for CLARIN ERICs as National Expert and member of the Spanish Research Network CLARIAH-ES. He is also a member of the Management Committee of the European COST Action “Digital Mental Health for Young People (YouthDMH)” (CA23153). He participates in three national projects currently. He has participated as a researcher in 19 national and one European project. has been PI of the PRECOM project, funded by the Ministry of Consumer Affairs, and the BigHug project, funded by the Junta de Andalucía, for the early detection of gambling addiction and mental disorders through gambling addiction and mental disorders through language analysis. He has also been PI of the FEDER WeLee project, to facilitate the reading of complex texts on the web. He is currently participating in four state projects, he is delegate at the University of Jaén of the work package on digital identity and metaverse in the European Alliances project NEOLAiA. He is also CTO and one of the co-founders of the startup Yottacode S.L He is author of 15 publications in JCR Q1/Q2 (23 JCR-index papers in total), 119 indexed publications (Scopus), a Scopus H index of 18 and a total number of citations of 1,382. He is currently supervising six PhD students. His AI research focuses on machine learning for language models. He pioneered deep neural networks in this area and currently investigates bias in large language models, text simplification, and conversational AI for detecting and treating disorders using cognitive-behavioral therapies. His interdisciplinary work involves collaborations with experts in linguistics, psychology, sociology, and biology.

All Sessions by Dr Arturo Montejo Ráez

Navigating AI in Open Science November 12, 2025

Feynbot: Unlocking conversational access to High Energy Physics literature

Imagine having a conversation with the entire INSPIRE-HEP database—asking complex questions about particle physics research and receiving precise, contextual answers instantly. The Feynbot project aims to make this vision reality through an advanced Retrieval Augmented Generation system that transforms how researchers interact with scientific literature. This presentation unveils Feynbot's innovative approach that combines cutting-edge AI with the comprehensive INSPIRE-HEP collection. Natural language queries will unlock insights buried across thousands of research papers. Whether you're exploring theoretical frameworks, investigating experimental results, or tracking research trends, Feynbot will deliver accurate, detailed responses tailored to your specific needs. We'll explore the technical architecture behind this system, reveal proven strategies for eliminating AI hallucinations, and demonstrate how Feynbot bridges the gap between researchers' needs and RAG implementation. With tools like this, we will be able to reshape research workflow, opening new pathways for scientific exploration in particle physics.