Article

Probabilistic Chain-of-Evidence: Enhancing Factual Accuracy and Uncertainty Reasoning in Large Language Models via Prompt Engineering

2026-01-20

Abstract excerpt

Large Language Models (LLMs) frequently struggle with factual accuracy and the precise handling of uncertain information, often leading to hallucinations or misinterpretations. Existing methods like Chain-of-Thought (CoT) prompting fail to explicitly distinguish between facts and assumptions within complex contexts. To address these challenges, we introduce the Probabilistic Chain-of-Evidence (PCE) method, a novel...

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Literature Corpus work: 5985598c-690a-5dae-8809-44818e4e4461
DOI: 10.20944/preprints202601.1471.v1

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