The multi-source framework identifies a consistent relational deficit in LLMs, where they recognize domain concepts but fail to reproduce their relational structures when compared to expert encyclopedias across fields like sociology and philosophy.
arXiv preprint arXiv:2303.16104 , year=
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The paper surveys hallucination in LLMs with an innovative taxonomy, factors, detection methods, benchmarks, mitigation strategies, and open research directions.
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A Multi-Source Framework for Relational Validation of Large Language Models Using Expert-Curated Encyclopedic Sources
The multi-source framework identifies a consistent relational deficit in LLMs, where they recognize domain concepts but fail to reproduce their relational structures when compared to expert encyclopedias across fields like sociology and philosophy.
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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
The paper surveys hallucination in LLMs with an innovative taxonomy, factors, detection methods, benchmarks, mitigation strategies, and open research directions.