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Social fairness evaluation on FACET (test)

92.58AccuracyMS-PoE + BAIR
81.576884.433487.2990.1466May 7, 2026

Evaluation results

MethodLinks
MS-PoE + BAIRBackbone=Qwen2.5-VL-3B2026.0592.5870.713.53
MS-PoE + BAIRBackbone=DeekSeek-VL-7B2026.0591.9451.583.7
MS-PoEBackbone=DeekSeek-VL-7B2026.0591.8251.053.78
Standard RAG + BAIRBackbone=DeekSeek-VL-7B2026.0591.0230.952.48
MAD-RAG + BAIRBackbone=DeekSeek-VL-7B2026.0590.9631.682.63
Standard RAGBackbone=DeekSeek-VL-7B2026.0590.8931.052.64
MAD-RAGBackbone=DeekSeek-VL-7B2026.0590.8630.842.65
Visual-focus Instr. + BAIRBackbone=DeekSeek-VL-7B2026.0590.8130.842.71
Visual-focus Instr.Backbone=DeekSeek-VL-7B2026.0590.4728.532.83
BaselineBackbone=DeekSeek-VL-7B2026.0590.24——
Standard RAG + BAIRBackbone=Qwen2.5-VL-3B2026.0588.5650.314.64
LongLLMLingua + BAIRBackbone=DeekSeek-VL-7B2026.0587.833.796.36
LongLLMLinguaBackbone=DeekSeek-VL-7B2026.0587.7634.216.45
LongLLMLingua + BAIRBackbone=Qwen2.5-VL-3B2026.0587.4545.974.89
Visual-focus Instr. + BAIRBackbone=Qwen2.5-VL-3B2026.0587.2844.935.2
MAD-RAG + BAIRBackbone=Qwen2.5-VL-3B2026.0585.136.086.19
BaselineBackbone=Qwen2.5-VL-3B2026.0584.91——
MAD-RAGBackbone=Qwen2.5-VL-3B2026.0584.4125.535.11
Visual-focus Instr.Backbone=Qwen2.5-VL-3B2026.0584.3828.255.65
LongLLMLinguaBackbone=Qwen2.5-VL-3B2026.0584.3631.596.26
Standard RAGBackbone=Qwen2.5-VL-3B2026.0584.3426.625.41
MS-PoEBackbone=Qwen2.5-VL-3B2026.058229.078.6