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Pathological Multimodal Understanding on PathMMU ALL (test)

72.9PubMed AccuracyExpert Performance
26.72438.71250.762.688Dec 24, 2025

Evaluation results

MethodLinks
Expert PerformanceUnif. Model=-2025.1272.971.871.56968.378.9
Gemini-1.5 ProUnif. Model=-2025.1271.86868.969.869.558.1
CPath-OmniUnif. Model=✘2025.1269.9——70.670.679
UniPathUnif. Model=✔2025.1266.465.768.473.977.746.6
PathGen-LLaVAUnif. Model=✘2025.1259.958.458.760.565.149.7
Qwen2-VL-72B-InstructUnif. Model=✘2025.1257.254.565.856.158.335.7
BAGEL-14BUnif. Model=✔2025.1256.252.359.654.161.331.9
UniMedVLUnif. Model=✔2025.1254.950.656.75659.426.9
Qwen2-VL-7B-InstructUnif. Model=✘2025.1254.451.556.353.755.137.9
GPT-4V-1106Unif. Model=-2025.1253.949.953.453.952.633.9
Show-o-7BUnif. Model=✔2025.1248.840.440.441.940.424.4
Quilt-LLaVAUnif. Model=✘2025.1241.941.245.94543.730.1
LLaVA-1.5-13BUnif. Model=✘2025.1241.437.740.139.943.423.7
BLIP3-8BUnif. Model=✔2025.1240.637.639.242.338.725.3
LLaVA-OneVision-7BUnif. Model=✘2025.1236.93437.737.438.819.5
LLaVA-MedUnif. Model=✘2025.1228.526.828.227.430.420.1