Recipe Generation

Recipe generation research aims to automatically create novel and realistic cooking recipes using computational methods. Current efforts focus on leveraging large language models (LLMs), often multimodal and incorporating vision transformers, to generate recipes from various inputs like text descriptions, images, or even existing recipes, with a strong emphasis on improving the accuracy and detail of generated ingredients and instructions. This field is significant for its potential applications in personalized dietary planning, automated cooking systems, and enriching culinary creativity, while also advancing natural language processing and multimodal learning techniques.