Weronika Sieińska

Research project title: 
Large Language Models for Automatic Verification of Public Health Claims
Principal goal for project: 
To design and evaluate new techniques for automatic claim verification and the generation of justifications with the use of large language models in the public health domain
Research project: 

I design and evaluate new techniques for automatic claim verification and the generation of justifications with the use of large language models in the public health domain.

About me: 

Before my PhD (and a bit during), I worked as a Research Assistant at Heriot-Watt University on the EU H2020-ICT SPRING project. Formerly, I was an Assistant Engineer at Samsung R&D Institute Poland, where I worked on Samsung's voice assistant Bixby. I hold MSc and BEng degrees in Computer Science from Adam Mickiewicz University. I also studied for a year as an Erasmus+ exchange student at the University of Southern Denmark.

Research interests:

  • Factuality, fact-checking, claim verification
  • Misinformation mitigation
  • Large language models, retrieval-augmented generation
  • Infodemiology, public health domain

Selected publications:

  • Coronabot: A Conversational AI System for Tackling Misinformation [link] [pdf]

Research portals:
Google Scholar, Scopus, Research Gate, Semantic Scholar, ORCID, DBLP