ragarwal/MADE-Multilabel-Benchmark
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events (ACL 2026) Authors: Raunak Agarwal, Markus Wenzel, Simon Baur, Jonas Zimmer, George Harvey, Jackie Ma Blog; Project Page; Github; Arxiv Abstract: Machine learning in high-stakes domains such as healthcare requires not only strong predictive performance but also reliable uncertainty quantification (UQ) to support human oversight. Multi-label text… See the full description on the dataset page: https://huggingface.co/datasets/ragarwal/MADE-Multilabel-Benchmark.
This repository is gated, so its file contents are only served once you have accepted the publisher's terms at Hugging Face. Open it at the source above.