Validating FKG.in: Soundness Assessment in LLM-Augmented Indian Food Knowledge
This paper provides a practical, auditable, and application-agnostic framework for validating LLM-augmented recipe data, thereby strengthening the foundations of machine-readable food knowledge infrastructures in the era of LLM-generated content.
Saransh Kumar Gupta, Armaan Shah, Lipika Dey et al.
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