Medicine
SMMILE
SMMILE: an expert-driven benchmark for multimodal medical in-context learning. 111 problems (517 image-question-answer triplets) across 6 specialties and 13 imaging modalities; multimodal LLMs evaluated zero-shot vs with in-context examples on closed-ended MCQA and open-ended (exact-match / LLM-as-a-judge) accuracy. SMMILE++ permutes the in-context demonstrations into 1038 problems.
111items
16subjects
CC-BY-4.0license
medicinedomain
textmodality
imagemodality
item-level responses released
Saturation status: Unknown
Response matrix
Fit to width. Hover for subject & item; click a cell for details.

Correct (1)Incorrect (0)Unobserved
Scale: 1 = correct · 0 = incorrect
Subjects
- 1Qwen2.5-VL-72B0.3882
- 2GPT-4o0.341
- 3Qwen2.5-VL-7B0.3298
- 4Qwen2.5-VL-32B0.3169
- 5Claude 3.7 Sonnet0.2898
- 6Llama-3.2-Vision-90B0.2734
- 7MedGemma-4B-Multimodal0.2692
- 8Qwen2.5-VL-3B0.2608
- 9MedVLM-R10.2493
- 10LLaVA-OneVision-7B0.2411
- 11LLaVA-v1.5-7B0.2132
- 12LLaVA-v1.5-13B0.2092
- 13LLaVA-OneVision-0.5B0.2055
- 14LLaVA-NeXT-7B0.1765
- 15Llama-3.3-70B-Instruct (text-only)0.1497
- 16LLaVA-Med-v1.5-Mistral-7B0.0503