QIME: Constructing Interpretable Medical Text Embeddings via Ontology-Grounded Questions

arXiv:2603.01690v2 Announce Type: replace Abstract: While dense biomedical embeddings achieve strong performance, their black-box nature limits their utility in clinical decision-making. Recent question-based interpretable embeddings represent text as binary answers to natural...

🔗 Read more: https://arxiv.org/abs/2603.01690

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