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Enhancing LLM Accuracy and Reducing Hallucinations using Query Refinement Technique and Knowledge Graphs

2025-04-17

Abstract excerpt

Recent developments in natural language processing (NLP) using large language models (LLMs) have transformed information retrieval systems. Problems still exist, however, in high stakes use cases where high accuracy is an essential requirement. A key issue is the hallucination problem, where models generate information unsupported by the underlying data, potentially leading to dangerous misinformation. This paper...

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Literature Corpus work
26c58bbf-2af6-5024-9bb8-6f7275fc9908
DOI
10.22541/au.174491149.99244128/v1
Open publication

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Enhancing LLM Accuracy and Reducing Hallucinations using Query Refinement Technique and Knowledge GraphsDOI 10.22541/au.174491149.99244128/v1
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