5 papers
VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering
MiloÅ¡ KoÅ¡prdiÄ, Adela LjajiÄ, Bojana BaÅ¡aragin +3
We introduce VerifAI, an open-source expert system for biomedical question answering that integrates retrieval-augmented generation (RAG) with a novel post-hoc claim verification m…
Improving Customer Service with Automatic Topic Detection in User Emails
Bojana BaÅ¡aragin, Darija Medvecki, Gorana GojiÄ +2
This study introduces a novel natural language processing pipeline that enhances customer service efficiency at Telekom Srbija, a leading Serbian telecommunications company, throug…
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
MiloÅ¡ KoÅ¡prdiÄ, Nikola ProdanoviÄ, Adela LjajiÄ +2
Supervised named entity recognition (NER) in the biomedical domain depends on large sets of annotated texts with the given named entities. The creation of such datasets can be time…
Scientific QA System with Verifiable Answers
Adela LjajiÄ, MiloÅ¡ KoÅ¡prdiÄ, Bojana BaÅ¡aragin +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 BaÅ¡aragin, Adela LjajiÄ, 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…