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Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes

Paper recorded by Signals 4 on 2026-09-03 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-03 on arXiv · recorded by Signals 4 on 2026-09-04

Category: cs.CL · 自然语言处理 · first seen 2026-09-04

Abstract

Several studies have evaluated the ability of Large Language Models (LLMs) for meal planning, yielding positive outcomes. These models can process natural language inputs and leverage learned knowledge from their pretraining to generate meal plans. In this work, we investigate the ability of LLMs to analyze the suitability of given recipes for diabetes. The primary challenge for LLMs is to retriev

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#124 most recent of 186 cs.CL papers we have recorded · ↑ newer: IchthyoNoma: Nomenclature and Context Sensitivity of Zero-Shot Biologi · ↓ older: FiMI Banking: A Sovereign Model for Indian Retail Banking
Cite this page: Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes: the #124 most recent of 186 cs.CL papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/investigating-the-ability-of-large-language-models-to-analyze-recipes-for-diabet.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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