Efficiency of question-answering pipeline in systems with combined LLM and knowledge base usage
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Date
2024
Authors
Androshchuk, Maksym
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Abstract
The 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].
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Keywords
integration of a large language model (LLM), KnowledgeNavigator framework, learning capabilities of LLMs, conference abstracts
Citation
Androshchuk 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.