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Medical Visual Question Answering on OmniMedVQA (test)

85.2CT AccuracyGPT-5
1533.22551.4569.675Nov 27, 2025Dec 29, 2025Jan 31, 2026Mar 4, 2026Apr 6, 2026May 8, 2026Jun 10, 2026

Evaluation results

MethodLinks
GPT-5Param.=–2026.0685.289—86.884—88.564.582.581.5————80.5————
M3LLM-8BParameters=8B2025.1185.185.589.390.279.883.688.778.285.7——————————
MedLVR (ours)Model Category=Medical VLM, Reasoning Paradigm=Think in Latent Space2026.0480.4——80.2——77.551.87882——76.681.970.2————
InternVL3-8BParameters=8B2025.1178.987.580.477.281.882.287.376.479——————————
Lingshu-7BParameters=7B2025.1177.288.983.389.983.282.786.480.682.8——————————
MedGemma-27BParameters=27B2025.1175.580.866.176.37466.178.555.870.3——————————
Med-R1Model Category=Medical VLM, Reasoning Paradigm=Think about Images2026.0473.5——82.2——83.745.271.168.8——68.977.469.5————
Qwen3.5-9BParam.=9B2026.0672.275—69.868—77.542.967.868.5————68.5————
Qwen2.5VL-32BParam.=32B2026.0670.572.4—69.167.2—7639.16669.7————65.9————
HealthGPT-14BParameters=14B2025.1170.382.583.6886972.783.756.775.8——————————
HuatuoGPT-Vision-7BParameters=7B2025.117084.272.185.772.575.781.981.277.9——————————
Qwen2.5VL-7BParam.=7B2026.0669.774.5—59.660.5—76.232.461.461.3————64.4————
UniReason-MedParam.=7B2026.0669.785.3—82.270.9—81.334.271.178.9————66.9————
Qwen3-VLCategory=General, Size=32B, Mode=Non-thinking, Teacher Model=-2026.0168——8583.6781.6786.3366.3379.3379.3384.3379.33———————
Qwen2-VL-72BModel Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0468——72.8——77.251.468.169.4——65.372.667.8————
Qwen3-VLCategory=General, Size=32B, Mode=Thinking, Teacher Model=-2026.0166.33——78.677780.678462.6775.4277.6776.3375.1———————
Qwen2.5-VL-72BModel Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0466.2——69.2——77.649.867.768.7——69.87169.4————
Qwen3-VLCategory=General, Size=8B, Mode=Thinking, Teacher Model=-2026.0165.67——63.3367.338281.3358.6769.42706769.33———————
ViTARModel Category=Medical VLM, Reasoning Paradigm=Think with Images2026.0464——84.2——8184.974.268.6——82.383.478.4————
LISAParam.=7B2026.066346.7—66.241.6—62.332.15249————54.7————
MedPLIBParam.=12B2026.0662.765—75.151.5—60.338.860.667————64.4————
HuatuoGPTCategory=Medical, Size=7B, Mode=Non-thinking, Teacher Model=-2026.0162.67——76.336463.3369.3349.6765.2967.3369.6765———————
QWen2.5-VL-7BParameters=7B2025.1162.570.866.466.26870.976.835.664.7——————————
Qwen3-VLCategory=General, Size=8B, Mode=Non-thinking, Teacher Model=-2026.0162——75.3376.678485.6761.6774.7573.677974.91———————
KEPO (τ = 1)Category=Ours, Size=2B, Mode=Thinking, Teacher Model=Qwen3-VL-32B2026.0162——82.3378.6781.67857480.259682.3378———————
Qwen2-VL-7BModel Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0461.5——59.3——64.33654.645.8——49.159.861.1————
Qwen2.5-VL-7BModel Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0460.4——61.2——7430.760.358.4——62.567.367.8————
BLIP-2Param.=4B2026.0659.967.6—69.640.9—6539.154.643.5————51.5————
BLIP-2†Model Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0456.7——68.1——67.637.35141.3——40.746.250.4————
KEPO - KE (τ = 1)Category=Ours, Size=2B, Mode=Thinking, Teacher Model=Qwen3-VL-32B2026.0155.33——77.3374.6783.67817276.2983.6782.6775.24———————
KEPO (τ = 0)Category=Ours, Size=2B, Mode=Thinking, Teacher Model=Qwen3-VL-32B2026.0154.67——787983.6782.6772.3378.7195.6783.6776.29———————
Qwen2.5-VL-3BModel Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0453.9——56.2——61.832.754.254.2——52.962.559.6————
KEPO - KE (τ = 0)Category=Ours, Size=2B, Mode=Thinking, Teacher Model=Qwen3-VL-32B2026.0153.33——75.678284.3381.3372.6775.5881.337474.76———————
SFT BaseCategory=Std. FT, Size=2B, Mode=Non-thinking, Teacher Model=-2026.0153——67.6764.677879.6755.3369.7985.3374.6767.57———————
On-policy KD (λ = 1)Category=MM-GKD, Size=2B, Mode=Thinking, Teacher Model=Qwen3-VL-32B2026.0152.67——58.336773.6779.677565.9259.6761.3366.81———————
GRPO BaseCategory=Std. FT, Size=2B, Mode=Thinking, Teacher Model=-2026.0151——73.337584787374.337981.3373.67———————
Supervised KD (λ = 0)Category=MM-GKD, Size=2B, Mode=Non-thinking, Teacher Model=Qwen3-VL-32B2026.0150.67——7373.3383.337874.6773.9278.6779.6773.24———————
Qwen3-VLCategory=General, Size=2B, Mode=Thinking, Teacher Model=-2026.0150.33——55.3368.3375.6779.6774.3367.46647267.95———————
Mixed KD (λ = 0.5)Category=MM-GKD, Size=2B, Mode=Non-thinking, Teacher Model=Qwen3-VL-32B2026.0149.33——7370.6782.3377.6774.3373.0477.6779.3372.38———————
Qwen3-VLCategory=General, Size=2B, Mode=Non-thinking, Teacher Model=-2026.0148.67——68.676879.337973.3369.4261.337770.57———————
On-policy KD (λ = 1)Category=MM-GKD, Size=2B, Mode=Non-thinking, Teacher Model=Qwen3-VL-32B2026.0148.67——7371.3382.6778.6774.6773.1378.3377.6772.38———————
KEPO - KE (τ = 0)Category=Ours, Size=2B, Mode=Non-thinking, Teacher Model=Qwen3-VL-32B2026.0148.33——737080.337771.6771.3377.677972.13———————
GRPO BaseCategory=Std. FT, Size=2B, Mode=Non-Thinking, Teacher Model=-2026.0148——73.6771.678078.3372.3373.12808172.14———————
Qwen2-VL-2BModel Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0445.1——35.1——39.330.938.138.6——35.843.236.9————
MedVInT†Model Category=Medical VLM, Evaluation Protocol=Zero-shot2026.0440.7——23.3——55.141.337.143.1——29.131.832————
InternVL2Model Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0440.2——59.1——57.949.154.258.1——51.953.264————
LLaVA-Med-7BParameters=7B2025.1138.748.339.545.758.849.343.448.146.5——————————
Med-Flamingo†Model Category=Medical VLM, Evaluation Protocol=Zero-shot2026.0438.5——26.5——30.324.630.440.6——32.430.119.9————
HealthGPTModel Category=Medical VLM, Evaluation Protocol=Zero-shot2026.0435.5——89.3——81.951.46878.5——64.954.688.2————
HuatuoGPT-VisionModel Category=Medical VLM, Evaluation Protocol=Zero-shot2026.0435.3——59.3——41.560.150.440.4——53.151.462.3————
LLaVA-NeXT-7BParameters=7B2025.1131.72724.625.730.226.625.825.527.1——————————
LLaVA-7BParameters=7B2025.1130.726.123.924.830.726.42325.126——————————
InstructBLIPParam.=7B2026.0629.544.3—45.563—58.143.446.136.1————48.7————
InstructBLIP†Model Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0428.7——42.6——6141.345.733.2——62.250.346.3————
RadFMParam.=14B2026.0627.931.4—3438.3—26.616.528.224.7————26.3————
RadFM†Model Category=Medical VLM, Evaluation Protocol=Zero-shot2026.0427.6——32.8——3116.629.524.1——39.236.928————
MiniGPT-4Param.=7B2026.0623.742.5—33.641.3—37.226.432.828.7————29.3————
VPGTransParam.=7B2026.0622.936.8—27.245.4—44.227.53226.5————25.5————
MiniGPT-4†Model Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0422.8——31.4——38.325.532.527.5——40.338.336.2————
LLaMA Adapter v2†Model Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0421.4——33——46.434.137.826.6——51.850.738.7————
LLaVA-MedParam.=7B2026.0619.643.1—3946.4—32.430.433.830.5————29.3————
LLaVA-Med†Model Category=Medical VLM, Evaluation Protocol=Zero-shot2026.0418.7——34.6——30.729.932.327.5——453933.3————
LLaVAParam.=7B2026.0618.334.1—37.249.7—28.423.23128.9————37.8————
LLaVA†Model Category=General-purpose VLM, Evaluation Protocol=Zero-shot2026.0417.7——33.7——30.718.731.726.7——49.747.128.9————
Base ModelBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.06———————————————0.3810.38156.758.7
ConfTunerBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.06———————————————0.0680.1488667.4
OursBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.06———————————————0.1360.14388.466
SteerConfBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.06———————————————0.0820.22270.556.2
Top-K SamplingBackbone=Qwen2-VL-7B-Instruct, Trained on=OmniMedVQA2026.06———————————————0.1840.25966.960.6