3 papers
cs.AI2025
OntView: What you See is What you Meant
Carlos Bobed, Carlota Quintana, Eduardo Mena +2
In the field of knowledge management and computer science, ontologies provide a structured framework for modeling domain-specific knowledge by defining concepts and their relations…
cs.CL2025
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
Laura Cabello, Carmen Martin-Turrero, Uchenna Akujuobi +2
Question answering is a natural language understanding task that involves reasoning over both explicit context, and unstated relevant domain knowledge. Despite the high cost of tra…
cs.CL2025
Linguistic Interpretability of Transformer-based Language Models: a systematic review
Miguel López-Otal, Jorge Gracia, Jordi Bernad +3
Language models based on the Transformer architecture achieve excellent results in many language-related tasks, such as text classification or sentiment analysis. However, despite…