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arXiv AI By Anna T. Thomas, Sohum Patnaik, Caroline Cotto, Benjamin Sanchez-Lengeling

TasteBench: Multimodal Benchmark for Sensory Prediction, from Molecules to Sustainable Foods

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TasteBench is a multimodal benchmark designed to accelerate sustainable protein discovery by providing computational proxies for sensory prediction. It includes a food-level ranking task based on over 21,000 human evaluations of 215 plant-based foods across 24 categories, and a molecular-level taste classification task covering 15,000 flavor molecules. The benchmark offers baseline models, characterizes inter-rater agreement and reliability limits, and demonstrates that the best model achieves pairwise accuracy comparable to individual human panelists.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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