This project primarily focuses on verifying the accuracy of information in texts generated by generative language models within the biomedical field. The developed system aims to provide users with accurate, real-time responses to their queries supported by relevant sources. This project involves fine-tuning and prompting generative language models, lexical, semantic, and hybrid search, and metrics development for fact verification in texts produced by large language models. The project is funded as part of the EU’s NGI Search initiative and is the result of collaboration with the research sector of pharmaceutical company Bayer.
You can find more information about the project HERE.