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Medical Visual Question Answering on VQA-RAD

80.4AccuracyRobust-MMR
65.42469.31273.277.088Aug 4, 2025Sep 28, 2025Nov 22, 2025Jan 16, 2026Mar 12, 2026May 6, 2026Jun 30, 2026

Evaluation results

MethodLinks
Robust-MMREvaluation Setting=Standard2026.0280.4—————
OctoMed-7BParameters=7B2026.0379—————
Ours (7B)Parameters=7B2026.0379—————
MedGemma 4BDecoding=Greedy2025.0878.55—————
MedGemma 4BModel Type=Medical LLM2025.1078.55—————
KG-CMIreported_format=Mean ± Standard Deviation2026.0478.2168.1884.11———
CPRDEvaluation Setting=Standard2026.0278.2—————
LaPAreported_format=Mean ± Standard Deviation2026.0478.1567.8784.92———
MedVLSynther-7BModel Type=Medical LLM2025.1077.57—————
Ours-7BModel Category=Medical Models2026.0477.16—————
MEVFEvaluation Setting=Standard2026.0277—————
MedVLThinker-32B RLDecoding=Greedy2025.0876.96—————
M3AEreported_format=Mean ± Standard Deviation2026.0476.7263.585.42———
VG-CALFreported_format=Mean ± Standard Deviation2026.0476.1667.4785.28———
BANEvaluation Setting=Standard2026.0276—————
MUMCreported_format=Mean ± Standard Deviation2026.0475.6162.5784.19———
Robust-MMREvaluation Setting=Perturbed2026.0275.6—————
Qwen2.5-VL-32B-InstructDecoding=Greedy2025.0875.12—————
CCIS-MVQA*reported_format=Point estimate2026.0475.0668.7879.24———
MedVRModel Category=Medical-Specific VLMs, Evaluation Protocol=In-domain, Backbone=Qwen2.5-VL-7B2026.0474.4—————
HuatuoGPT-Vision-34BDecoding=Greedy2025.0874.26—————
ToolTreeBackbone Model=GPT-4o2026.0374.12—————
Qwen2.5-VL-7B-InstructParameters=7B2026.0374—————
QoQ-Med-7BParameters=7B2026.0374—————
Qwen3vl-8BModel size=7-13B parameters2026.0173.71—————
MedVLSynther-3BModel Type=Medical LLM2025.1073.53—————
IBISAgent2026.0173.4—————
GPT-5-miniModel size=Proprietary, Prompting protocol=vanilla prompt2026.0173.31—————
MPRreported_format=Mean ± Standard Deviation2026.0473.359.379.1———
UnICLAM*reported_format=Point estimate2026.0473.259.882.6———
InternVL3-8BModel size=7-13B parameters2026.0172.91—————
Chiron2026.0172.7—————
MedGemma 27BDecoding=Greedy2025.0872.67—————
MedGemma 27BModel Type=Medical LLM2025.1072.67—————
Direct GRPO w/o cold-startModel size=7-13B parameters, SFT-stage setting=removed, Reasoning-stage setting=Direct GRPO2026.0172.64—————
ViToSBackbone=Lingshu-32B2026.0672.51—————
Chiron-01-8BTool=false2026.0172.5—————
MedGemma-4BModel Category=Medical-Specific VLMs, Evaluation Protocol=In-domain2026.0472.5—————
Qwen2.5-VL-32BModel Category=General-Purpose VLMs, Evaluation Protocol=In-domain2026.0471.8—————
Qwen2.5vl-32BTool=false2026.0171.7—————
Qwen2.5-VL-32BCategory=Open-Source SOTA2026.0471.7—————
Gemini-2.5-proModel size=Proprietary, Prompting protocol=vanilla prompt2026.0171.43—————
Lingshu-32BParams=32B, Medical=yes2025.1071.4—————
ViToSBackbone=Lingshu-7B2026.0671.31—————
ViToS2026.0671.3—————
MedVLThinker-3B RLDecoding=Greedy2025.0871.08—————
MedVLThinker-3BModel Type=Medical LLM2025.1071.08—————
LINGSHU-7B + MED-SCOUTParameters=7B, Enhancement=Med-Scout2026.0171—————
CPRDEvaluation Setting=Perturbed2026.0271—————
MEDGEMMA-4B-ITParameters=4B2026.0170.8—————
GRPO w/o ToolsModel size=7-13B parameters, Tool-access setting=removed, Reasoning-stage setting=GRPO2026.0170.75—————
Cold-start w/o ToolsModel size=7-13B parameters, Tool-access setting=removed, SFT-stage setting=Cold-start2026.0170.75—————
MEDVISTA-R1Model size=7-13B parameters2026.0170.75—————
MEDVISTA-R1Tool=true2026.0170.75—————
ViToSBackbone=HuatuoGPT-Vision-7B2026.0670.52—————
BaselineBackbone=Lingshu-32B2026.0670.52—————
VQAMix*reported_format=Point estimate2026.0470.556.979.5———
GPT-4oDecoding=Greedy2025.0870.22—————
GEMINI-3-FLASHModel Type=Proprietary2026.0170.2—————
HUATUOGPT-VISION-7B + MED-SCOUTParameters=7B, Enhancement=Med-Scout2026.0170.1—————
ViTAR2026.0670.1—————
MEVFEvaluation Setting=Perturbed2026.0269.4—————
M2I2reported_format=Mean ± Standard Deviation2026.0469.1648.7882.71———
LINGSHU-7BParameters=7B2026.0168.9—————
Qwen2.5-VL-7B-InstructDecoding=Greedy2025.0868.75—————
Qwen2.5-VL-7B-InstructModel Type=General LLM2025.1068.75—————
CARE-Coord-BSource Type=Open-source2026.0368.29—————
BANEvaluation Setting=Perturbed2026.0268.2—————
LingshuSize=7B2026.0367.9—————
Lingshu-7BModel Category=Medical-Specific VLMs, Evaluation Protocol=In-domain2026.0467.9—————
Lingshu-7BModel Category=Medical Models2026.0467.9—————
VScanBackbone=HuatuoGPT-Vision-7B2026.0667.73—————
Rform + Rexact + RDTWReward functions=Rform + Rexact + RDTW2026.0467.6—————
MedGemma-4BParams=4B, Medical=yes2025.1067.6—————
Claude Sonnet 4Params=Closed, Medical=no2025.1067.6—————
GPT-5Model size=Proprietary, Prompting protocol=vanilla prompt2026.0167.53—————
OriginalBackbone Model=Lingshu-7B2025.1267.41—————
Gemini-2.5-FlashParams=Closed, Medical=no2025.1067.41—————
VisionZipBackbone=HuatuoGPT-Vision-7B2026.0667.33—————
HUATUOGPT-VISION-7BParameters=7B2026.0167—————
HuatuoGPT-V-7BModel Category=Medical-Specific VLMs, Evaluation Protocol=In-domain2026.0467—————
HuatuoGPT-V-7BModel Category=Medical Models2026.0467—————
VScanBackbone=Lingshu-32B2026.0666.93—————
MMQ*reported_format=Point estimate2026.0466.925276.71———
GPT-4o-miniDecoding=Greedy2025.0866.91—————
BaselineBackbone=HuatuoGPT-Vision-7B2026.0666.53—————
PDropBackbone=HuatuoGPT-Vision-7B2026.0666.53—————
Rform + RexactReward functions=Rform + Rexact2026.0466.5—————
OctoToolsBackbone Model=GPT-4o2026.0366.42—————
GPT-5Model Type=Proprietary2026.0166.4—————
Lingshu-7BTool=false2026.0166.4—————
PSIBackbone Model=Lingshu-7B2025.1266.3—————
InternVL3-14BModel Category=General-Purpose VLMs, Evaluation Protocol=In-domain2026.0466.3—————
GMAI-VLParams=7B, Medical=yes2025.1066.3—————
MMedAgentRL-7BTool=false2026.0166.1—————
Lingshu2026.0166.1—————
MMedAgent-RL-7BCategory=Multimodal Medical Agents2026.0466.1—————
Cold-start w/o ReasoningModel size=7-13B parameters, Reasoning-stage setting=removed, SFT-stage setting=Cold-start2026.0166.04—————
PixelReasoner-RL-vl-7BTool=true2026.0166—————
OpenAI-o3Category=Close-Source SOTA2026.0466—————