Jer{\'o}nimo Arenas-Garc{\'i}a

Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering

Multilingual question answering (QA) systems must ensure factual consistency across languages, especially for objective queries such as What is jaundice?, while also accounting for cultural variation in subjective responses. We propose MIND, a user-in-the-loop fact-checking pipeline to detect factua