5 papers
Explicit Evidence Grounding via Structured Inline Citation Generation
Anar Yeginbergen, Amelie Wührl, Anna Rogers +1
As AI systems become more widely adopted, the demand for factual and faithful generation grows. Properly attributing information through citations becomes, therefore, crucial. This…
Effects of Cross-lingual Evidence in Multilingual Medical Question Answering
Anar Yeginbergen, Maite Oronoz, Rodrigo Agerri
This paper investigates Multilingual Medical Question Answering across high-resource (English, Spanish, French, Italian) and low-resource (Basque, Kazakh) languages. We evaluate th…
Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
Olia Toporkov, Alan Akbik, Rodrigo Agerri
Lemmatization is the task of transforming all words in a given text to their dictionary forms. While large language models (LLMs) have demonstrated their ability to achieve competi…
Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models
Anar Yeginbergen, Maite Oronoz, Rodrigo Agerri
This paper investigates the role of dynamic external knowledge integration in improving counter-argument generation using Large Language Models (LLMs). While LLMs have shown promis…
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona +3
Explaining Artificial Intelligence (AI) decisions is a major challenge nowadays in AI, in particular when applied to sensitive scenarios like medicine and law. However, the need to…