o:8175 Scientific QA system with verifiable answers en In this paper, we introduce the Verif.ai project, a pioneering open-source scientific question-answering system, designed to provide answers that are not only referenced but also automatically vetted and verifiable. The components of the system are (1) an Information Retrieval system combining semantic and lexical search techniques over scientific papers (PubMed), (2) a Retrieval-Augmented Generation (RAG) module using fine-tuned generative model (Mistral 7B) and retrieved articles to generate claims with references to the articles from which it was derived, and (3) a Verification engine, based on a fine-tuned DeBERTa and XLM-RoBERTa models on Natural Language Inference task using SciFACT dataset. The verification engine crosschecks the generated claim and the article from which the claim was derived, verifying whether there may have been any hallucinations in generating the claim. By leveraging the Information Retrieval and RAG modules, Verif.ai excels in generating factual information from a vast array of scientific sources. At the same time, the Verification engine rigorously double-checks this output, ensuring its accuracy and reliability. This dual-stage process plays a crucial role in acquiring and confirming factual information, significantly enhancing the information landscape. Our methodology could significantly enhance scientists’ productivity, concurrently fostering trust in applying generative language models within scientific domains, where hallucinations and misinformation are unacceptable. 1552100 978-92-9083-669-8 1552101 2957-4935 1552099 https://doi.org/10.5281/zenodo.13863828 2025-08-28T08:56:52.784Z 44 no 46 Adela Ljajić Istraživačko-razvojni institut za veštačku inteligenciju Srbije 0000-0001-7326-059X 46 Miloš Košprdić Istraživačko-razvojni institut za veštačku inteligenciju Srbije 0000-0001-6902-3639 46 Bojana Bašaragin Istraživačko-razvojni institut za veštačku inteligenciju Srbije 0000-0002-7679-1676 46 Darija Medvecki Istraživačko-razvojni institut za veštačku inteligenciju Srbije 0000-0002-4180-0050 46 Lorenzo Cassano Bayer A.G. Research and development 46 Nikola Milošević Istraživačko-razvojni institut za veštačku inteligenciju Srbije 0000-0003-2706-9676 application/pdf 8991896 https://unilib.phaidrabg.rs/o:8175 no yes 20 70 92000004 71A08 Prcocededings of the 6th International Open Search Symposium #ossym2024 59 64 Minhen, Nemačka Leibniz Supercomputing Centre LRZ 2024