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To Adapt or not to Adapt, Rethinking the Value of Medical Knowledge-Aware Large Language Models
Ane G. Domingo-Aldama, Iker De La Iglesia, Maitane Urruela +2
BACKGROUND: Recent studies have shown that domain-adapted large language models (LLMs) do not consistently outperform general-purpose counterparts on standard medical benchmarks, r…
ArgHiTZ at ArchEHR-QA 2025: A Two-Step Divide and Conquer Approach to Patient Question Answering for Top Factuality
Adrián Cuadrón, Aimar Sagasti, Maitane Urruela +5
This work presents three different approaches to address the ArchEHR-QA 2025 Shared Task on automated patient question answering. We introduce an end-to-end prompt-based baseline a…
Medical Argument Mining: Exploitation of Scarce Data Using NLI Systems
Maitane Urruela, Sergio Martín, Iker De la Iglesia +1
This work presents an Argument Mining process that extracts argumentative entities from clinical texts and identifies their relationships using token classification and Natural Lan…
EriBERTa: A Bilingual Pre-Trained Language Model for Clinical Natural Language Processing
Iker de la Iglesia, Aitziber Atutxa, Koldo Gojenola +1
The utilization of clinical reports for various secondary purposes, including health research and treatment monitoring, is crucial for enhancing patient care. Natural Language Proc…