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Meme Abuse Detection on GOAT-Bench 1.0 (test)

75.1Harmfulness AccuracyCROSS-ALIGN+
51.38857.54463.769.856Feb 3, 2026

Evaluation results

MethodLinks
CROSS-ALIGN+Backbone=Qwen2.5-VL (7B), Protocol=Standard In-Context Learning (ICL)2026.0275.17381.278.686.284.875.372.67774.878.976.9
CROSS-ALIGN+Backbone=LLaVA-V1.6 (7B), Protocol=Standard In-Context Learning (ICL)2026.0272.870.578.976.38482.67269.174.972.576.574
CROSS-ALIGN+Backbone=InternVL2 (7B), Protocol=Standard In-Context Learning (ICL)2026.027168.677.574.782.380.97167.973.270.67572.5
CROSS-ALIGN+Backbone=DeepSeek-VL-S (7B), Protocol=Standard In-Context Learning (ICL)2026.0269.96776.573.78280.270.36772.669.874.371.6
CROSS-ALIGN+Backbone=Qwen2.5-VL (7B), Protocol=Vanilla Zero-Shot Inference2026.0269.567.17774.383.481.87167.873.170.574.872.3
CROSS-ALIGN+Backbone=mPLUG-Owl2-Small (7B), Protocol=Standard In-Context Learning (ICL)2026.0269.366.67673.38179.56965.971.168.373.370.7
CROSS-ALIGN+Backbone=MiniGPT-4 (7B), Protocol=Standard In-Context Learning (ICL)2026.0268.665.974.671.979.577.867.264.169.566.671.969.3
CROSS-ALIGN+Backbone=Gemma-VL (7B), Protocol=Standard In-Context Learning (ICL)2026.0268.165.474.571.680.178.368.365.170.967.972.469.7
CROSS-ALIGN+Backbone=LLaVA-V1.6 (7B), Protocol=Vanilla Zero-Shot Inference2026.0267.565.374.271.480.178.569.366.271.469.272.570.1
CROSS-ALIGN+Backbone=InternVL2 (7B), Protocol=Vanilla Zero-Shot Inference2026.026764.673.570.880.278.668.965.77067.671.969.3
CROSS-ALIGN+Backbone=mPLUG-Owl2-Small (7B), Protocol=Vanilla Zero-Shot Inference2026.0266.96473.670.979.677.968.26570.167.471.769
CROSS-ALIGN+Backbone=DeepSeek-VL-S (7B), Protocol=Vanilla Zero-Shot Inference2026.0266.863.572.970.17977.367.664.369.566.770.667.8
CROSS-ALIGN+Backbone=BLIP-2 OPT (6.7B), Protocol=Standard In-Context Learning (ICL)2026.0266.763.972.87078.977.267.564.46966.270.868.3
CROSS-ALIGN+Backbone=MiniGPT-4 (7B), Protocol=Vanilla Zero-Shot Inference2026.0265.262.671.869.177.575.966.56368.165.569.867
CROSS-ALIGN+Backbone=Gemma-VL (7B), Protocol=Vanilla Zero-Shot Inference2026.0264.361.671.468.378.576.86662.868.965.969.867.3
CROSS-ALIGN+Backbone=BLIP-2 OPT (6.7B), Protocol=Vanilla Zero-Shot Inference2026.0263.961.270.567.476.174.36561.967.364.568.565.9
Qwen2.5-VLParameters=7B, Protocol=Standard In-Context Learning (ICL)2026.0263.56170.266.77572.86461.166.363.767.865.1
LLaVA-V1.6Parameters=7B, Protocol=Standard In-Context Learning (ICL)2026.0261.759.368.464.973.271.861.157.763.861.465.663
InternVL2Parameters=7B, Protocol=Standard In-Context Learning (ICL)2026.0259.857.26662.471.168.5595661.558.963.560.6
DeepSeek-VL-SParameters=7B, Protocol=Standard In-Context Learning (ICL)2026.0258.355.56460.269.766.95753.759.956.961.858.6
mPLUG-Owl2-SmallParameters=7B, Protocol=Standard In-Context Learning (ICL)2026.02585563.860.569.566.756.453.259.256.161.458.3
Qwen2.5-VLParameters=7B, Protocol=Vanilla Zero-Shot Inference2026.0257.855.264.56170.26858.154.46056.762.159
MiniGPT-4Parameters=7B, Protocol=Standard In-Context Learning (ICL)2026.025754.162.558.867.965.25551.957.854.96057
LLaVA-V1.6Parameters=7B, Protocol=Vanilla Zero-Shot Inference2026.0256.954.763.160.568.866.25753.859.255.66158.2
Gemma-VLParameters=7B, Protocol=Standard In-Context Learning (ICL)2026.0256.553.662.759.168.565.455.852.758.655.460.457.2
InternVL2Parameters=7B, Protocol=Vanilla Zero-Shot Inference2026.0255.953.161.257.967.164.454.751.257.554.859.356.3
mPLUG-Owl2-SmallParameters=7B, Protocol=Vanilla Zero-Shot Inference2026.0255.652.561.558.167.264.354.1515753.959.156
DeepSeek-VL-SParameters=7B, Protocol=Vanilla Zero-Shot Inference2026.0254.951.860.356.766.263.553.249.956.753.658.755.1
BLIP-2 OPTParameters=6.7B, Protocol=Standard In-Context Learning (ICL)2026.0254.952.260.85766.563.653.350.256.153.158.355.2
MiniGPT-4Parameters=7B, Protocol=Vanilla Zero-Shot Inference2026.0253.85159.656.365.462.952.449.355.752.457.454.4
Gemma-VLParameters=7B, Protocol=Vanilla Zero-Shot Inference2026.0252.649.858.754.964.962.151.448.654.350.956.453.3
BLIP-2 OPTParameters=6.7B, Protocol=Vanilla Zero-Shot Inference2026.0252.349.757.954.363.861.450.747.95450.755.752.8