Papers by Mattia Ottoborgo

1 papers
Losses that Cook: Topological Optimal Transport for Structured Recipe Generation (2026.findings-acl)

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Challenge: Existing work on cooking recipes relies on cross-entropy, but it does not address holistic composition of ingredient sets and numerical aspects of recipes.
Approach: They propose a topological loss that represents ingredient lists as point clouds in embedding space . they show that the Dice loss excels in time/temperature precision .
Outcome: The proposed model improves ingredient- and action-level metrics while preserving time/temperature precision.

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