Androshchuk, Maksym2025-01-312025-01-312024Androshchuk M. Efficiency of question-answering pipeline in systems with combined LLM and knowledge base usage / M. Androshchuk // XХXIX International Conference "Problems of decision making under uncertainties" (PDMU-2024), Brno, Czech Republic, September 9-10, 2024 : abstracts / Taras Shevchenko National University of Kyiv (Ukraine), University of Defence, Brno, Czech Republic [et al.]. - Кyiv, 2024. - P. 17.978-617-555-228-5https://ekmair.ukma.edu.ua/handle/123456789/33389The integration of a large language model (LLM) with a knowledge base (KB) has been shown to significantly enhance the efficiency of question-answering (QA) pipelines. The KnowledgeNavigator framework has demonstrated effectiveness and generalization in QA tasks [1].enintegration of a large language model (LLM)KnowledgeNavigator frameworklearning capabilities of LLMsconference abstractsConference materials