MetaPlate combines a glucose-response ML model, counterfactual meal optimization, and RAG-LLM to generate personalized recommendations that keep post-meal glucose ≤140 mg/dL, with dietitian ratings improving after prompt changes.
Glyrag: Context-aware retrieval-augmented framework for blood glucose forecasting,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MetaPlate: Counterfactual-Guided RAG-LLM Tool for Personalized Food Recommendation and Hyperglycemia Prevention
MetaPlate combines a glucose-response ML model, counterfactual meal optimization, and RAG-LLM to generate personalized recommendations that keep post-meal glucose ≤140 mg/dL, with dietitian ratings improving after prompt changes.