White Paper: Injecting Knowledge Graph Triples into Large Language Models for Passage & Question Generation.


Finetune is proud to present a white paper on a critical topic written by members of our R&D incredible team: Charles Foster, Jesse Hamer, Joel Walsh, Geoff Converse, and Claudio Souza.

The paper details one proposed solution for language model confabulation, otherwise known as “hallucinations”. Rather than relying on the model to recall relevant facts from its training data, the method instead grounds the model on a human-legible graph of semantic relationships.

For the full paper, please see here.

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