23 citations · 25 across the 5 of their papers we have counts for
5 papers
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
Daniel Steinigen, Roman Teucher, Timm Heine Ruland +6
Recent advancements in Large Language Models (LLMs) have showcased their proficiency in answering natural language queries. However, their effectiveness is hindered by limited doma…
Scientific QA System with Verifiable Answers
Adela Ljajić, Miloš Košprdić, Bojana Bašaragin +3
In this paper, we introduce the VerifAI project, a pioneering open-source scientific question-answering system, designed to provide answers that are not only referenced but also au…
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions
Bojana Bašaragin, Adela Ljajić, Darija Medvecki +3
Large language models (LLMs) have recently become the leading source of answers for users' questions online. Despite their ability to offer eloquent answers, their accuracy and rel…
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
Miloš Košprdić, Adela Ljajić, Bojana Bašaragin +2
In this paper, we present the current progress of the project Verif.ai, an open-source scientific generative question-answering system with referenced and verified answers. The com…
Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian
Darija Medvecki, Bojana Bašaragin, Adela Ljajić +1
This paper presents the results of the first application of BERTopic, a state-of-the-art topic modeling technique, to short text written in a morphologi-cally rich language. We app…