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Benchmarks
Meme Classification on MMSD 2.0 (test)
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86.9
Accuracy
Gemini-3-Flash
70.676
74.888
79.1
83.312
Jun 2, 2026
Accuracy
Macro-F1
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Macro-F1
Gemini-3-Flash
Mode=zero-shot
2026.06
86.9
86.2
Claude-Sonnet-4.6
Mode=zero-shot
2026.06
85.2
84.6
Intent Projection
Backbone=InternVL3-8B
2026.06
84.8
84
Intent Projection
Backbone=Qwen3-VL-8B
2026.06
83.7
82.9
InternVL3-8B
SFT=true, Chain=true
2026.06
82.5
81.7
GPT-5.4-mini
Mode=zero-shot
2026.06
82.4
81.8
Qwen3-VL-8B
SFT=true, Chain=true
2026.06
81.2
80.4
Intent Projection
Backbone=LLaVA-OneVisi...
2026.06
80.9
80.1
LLaVA-OneVision-7B
SFT=true, Chain=true
2026.06
78.4
77.6
InternVL3-8B
Mode=base
2026.06
76.1
75.3
Qwen3-VL-8B
Mode=base
2026.06
74.8
74
LLaVA-OneVision-7B
Mode=base
2026.06
71.3
70.5
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