arXiv:2607. 23273v1 Announce Type: cross Abstract: Computational nutrition needs precise ingredient data, but current databases are incomplete, inconsistent, and built for human reference rather than automated reasoning.
By James Izzard, Hassan Eshkiki, Fabio Caraffini
arXiv:2607. 08423v1 Announce Type: new Abstract: The rapid integration of Large Vision-Language Models (VLMs) into critical infrastructure promises to revolutionize personalized healthcare and dietary management.
By Qian Jiang, Zhecheng Shi, Jingpu Yang, Zirui Song, Miao Fang
The paper introduces a personalized sustainable diet recommendation system that uses a constraint‑aware decision‑making model to align individual food choices with four pillars of sustainability: nutrition, affordability, cultural acceptability, and environmental respect. It presents a new dataset, SusDiet, containing roughly 150,000 recipes annotated with sustainability indicators, and demonstrates that the model encourages more sustainable selections while preserving user preferences. The study offers a quantitative framework intended to guide future interventions and policy‑making for sustainable development.
By Ying Jin, Weiqing Min, Mingyu Huang, Shuqiang Jiang
arXiv:2606. 10120v1 Announce Type: cross Abstract: Postprandial hyperglycemia is a key risk factor for metabolic disorders; however, existing dietary guidance is often static, impractical, and insufficiently personalized, providing recommendations that are difficult to follow or not impactful.
By Asiful Arefeen, Carol Johnston, Hassan Ghasemzadeh
arXiv:2609.22099v1 Announce Type: new
Abstract: Cooking is a complex process that transforms raw ingredients into delicious and nutritious dishes, yet the recipes that encode this process remain larg...
By Mansi Goel, Sumit Bhagat, Saloni Srivastava, Malav Patel, Shlok Vinodkumar Mehroliya, Ganesh Bagler
arXiv:2606. 23603v2 Announce Type: replace Abstract: Unhealthy dietary behavior continues to be a persistent public health issue in the United States, exacerbated by recommendation systems that prioritize user preference without considering nutritional health.
By Aarya Vasantlal, Joshua Zolla, Chuxu Zhang