@inproceedings{thomas2026tastebench,
  title = {TasteBench: Multimodal Benchmark for Sensory Prediction, from Molecules to Sustainable Foods},
  author = {Thomas, Anna T. and Patnaik, Sohum and Cotto, Caroline and Sanchez-Lengeling, Benjamin},
  booktitle = {Fortieth Conference on Neural Information Processing Systems (NeurIPS 2026) Track on Datasets and Benchmarks},
  year = {2026},
  month = dec,
  url = {https://openreview.net/forum?id=k3djmwrAXd},
  preprint = {https://arxiv.org/abs/2610.02599},
  github = {https://github.com/food-intelligence-lab/tastebench},
  keywords = {datacentric-ai, olfaction, small-molecules, mixtures, ai},
  abstract = {Introduces TasteBench, a multimodal benchmark and competition for sensory prediction across 21K+ human evaluations on 215 plant-based foods and 15K flavor molecules, providing computational proxies to accelerate sustainable food discovery.},
}