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A graphic showing the LLM and KG infrastructure in red colors.

The “Enkeltrick”: Inferential LLM Capabilities with a Knowledge Graph (KG)

Using the “grandchild trick” example, we show how LLMs can be guided to make correct inferences with the help of knowledge graphs—and why classic RAG approaches often reach their limits in this regard.

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Compositionality brings LLM’s towards formal semantics 

An improved prompting technique based on “least-to-most” thinking solves complex semantic parsing tasks and achieves new best values on the CFQ dataset with only 1% of the training data.

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