Article

From Illusion to Insight: A Taxonomic Survey of Hallucination Mitigation Techniques in LLMs

2025-08-27

Abstract excerpt

Large Language Models (LLMs) exhibit remarkable generative capabilities but remain susceptible to hallucinations—outputs that are fluent yet inaccurate, ungrounded, or in-consistent with source material. This paper presents a method-oriented taxonomy of hallucination mitigation strategies in text-based Large Language Models (LLMs), encompassing six categories: Training and Learning Approaches, Architectural Modifi...

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Literature Corpus work: c1074108-e8e8-5e71-95d1-9637bbceda50
DOI: 10.20944/preprints202508.1942.v1

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