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Meme Classification on MMSD 2.0 (test)

86.9AccuracyGemini-3-Flash
70.67674.88879.183.312Jun 2, 2026

Evaluation results

MethodLinks
Gemini-3-FlashMode=zero-shot2026.0686.986.2
Claude-Sonnet-4.6Mode=zero-shot2026.0685.284.6
Intent ProjectionBackbone=InternVL3-8B2026.0684.884
Intent ProjectionBackbone=Qwen3-VL-8B2026.0683.782.9
InternVL3-8BSFT=true, Chain=true2026.0682.581.7
GPT-5.4-miniMode=zero-shot2026.0682.481.8
Qwen3-VL-8BSFT=true, Chain=true2026.0681.280.4
Intent ProjectionBackbone=LLaVA-OneVision-7B2026.0680.980.1
LLaVA-OneVision-7BSFT=true, Chain=true2026.0678.477.6
InternVL3-8BMode=base2026.0676.175.3
Qwen3-VL-8BMode=base2026.0674.874
LLaVA-OneVision-7BMode=base2026.0671.370.5