TranspNet is a proposed neural-symbolic pipeline that uses ontologies, RAG, and ASP to verify and explain LLM outputs, but it provides no empirical validation.
In: Proceedings of the 2001 ACM SIGMOD international conference on Management of data
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Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)
TranspNet is a proposed neural-symbolic pipeline that uses ontologies, RAG, and ASP to verify and explain LLM outputs, but it provides no empirical validation.