Yufang HOU, IT:U – Interdisciplinary Transformation University Austria, Linz (AT)

The exponential growth of scholarly literature poses a substantial challenge for researchers seeking to stay current with the latest findings and synthesize knowledge effectively. This challenge is further exacerbated by the proliferation of misinformation and the increasing complexity of scientific data. In this talk, I will first present our work on identifying and reconstructing fallacies in misrepresented scientific findings. Next, I will talk about our recent studies for supporting experts in synthesizing biomedical research findings. Finally, I will discuss several open research challenges in modeling and reasoning over scholarly documents and their public communication.

In English

Yufang Hou is a full professor at IT:U – Interdisciplinary Transformation University Austria. At IT:U, she leads the NLP group with a strong focus on large language model (LLM) governance, computational argumentation, fact-checking, knowledge representation and reasoning, and human-centred NLP applications in education, science, and health. Yufang has served as an organizing committee member and senior program committee member for various NLP conferences, and has co-organized several workshops on topics such as argument mining, efficient NLP, and AI for Science.

Termin in meinen Kalender aufnehmen

Idee, Konzeption und Organisation
Christine Bauer (Professorin für Interactive Intelligent Systems am Fachbereich Artificial Intelligence and Human Interfaces (AIHI), Leiterin PB InterMediation | Universität Salzburg)
Katarzyna Grebosz-Haring (Systematische Musikwissenschafterin | PB InterMediation, Interuniversitäre Einrichtung Wissenschaft und Kunst | Universität Mozarteum Salzburg, Universität Salzburg)
Martin Losert (Instrumentalpädagoge, Leiter Department Musikpädagogik, Leiter PB InterMediation | Universität Mozarteum Salzburg)

Die öffentlichen Vorträge werden durch begleitende Termine für Studierende ergänzt (Anmeldung siehe Plus- bzw. Moz-Online LV-Nr. 901.955).