SLAKE: Results as Published

SLAKE is a bilingual English and Chinese medical visual question answering dataset. It has 642 radiology images and 14,028 question-answer pairs, plus segmentation masks, bounding boxes, and a medical knowledge graph. Questions are vision-only or knowledge-based, answers are closed-ended or open-ended, and images are split into training, validation, and test. The paper scores accuracy, reported separately for English and Chinese and for the question types.

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.