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Instacart has launched Clementine, an AI-powered grocery shopping assistant that can turn conversations, lists, or recipes into ready-to-buy carts, competing with similar features from Uber Eats and DoorDash to enhance meal planning and budgeting.
This paper proposes topological optimal transport-based loss functions for improving structured recipe generation in language models, addressing the limitations of standard cross-entropy training by better handling ingredient composition, quantities, and procedural accuracy. The approach shows significant improvements on recipe-specific metrics with 62% human preference over baseline methods.