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ResearchFormerly WizWand

Medical Visual Question Answering on MedXpertQA OOD (test)

0.184ECEOurs
0.159760.323380.4870.65062Jun 25, 2026
Updated 4mo ago

Evaluation results

MethodLinks
OursModel Architecture=MedGemma-4B-IT, Training Pathway=OmniMedVQA-trained2026.060.1840.2570.51423.4
OursTraining=PMC-trained, Pathway=PMC-VQA-trained2026.060.2050.2480.48322.9
OursBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.060.3140.2780.48719.4
SteerConfBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.060.3510.3150.5219.6
ConfTunerBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.060.360.3690.50420.9
SteerConfPathway=PMC-VQA-trained2026.060.4870.4480.50123.8
SteerConfModel Architecture=MedGemma-4B-IT, Training Pathway=OmniMedVQA-trained2026.060.4870.4480.50123.8
ConfTunerModel Architecture=MedGemma-4B-IT, Training Pathway=OmniMedVQA-trained2026.060.5610.4940.50721.8
Top-K SamplingBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.060.5690.4910.49120.6
Base ModelPathway=PMC-VQA-trained2026.060.6560.6170.48623.8
Base ModelModel Architecture=MedGemma-4B-IT, Training Pathway=OmniMedVQA-trained2026.060.6560.6170.48623.8
ConfTunerPathway=PMC-VQA-trained2026.060.6780.6410.47822.6
Top-K SamplingPathway=PMC-VQA-trained2026.060.6860.6280.47118.4
Top-K SamplingModel Architecture=MedGemma-4B-IT, Training Pathway=OmniMedVQA-trained2026.060.6860.6280.47118.4
Base ModelBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.060.790.7860.50119.8