Article

Mitigate Large Language Model Hallucinations with Probabilistic Inference in Graph Neural Networks

2024-07-01

Abstract excerpt

Large Language Models (LLMs) have achieved impressive proficiency in generating human-like text, yet they often produce factually incorrect or nonsensical content, posing challenges in applications requiring high accuracy and factual consistency. The novel integration of Graph Neural Networks (GNNs) with LLMs significantly enhances the ability to process relational data alongside textual information, thereby impro...

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Literature Corpus work: 2e93f033-60f8-527a-8666-bae9f7d6a892
DOI: 10.22541/au.171987466.61187752/v1

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