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Domain-Incremental Learning on MLLM-CL

85.68RS Score

ϕ-DPO

30.154444.569758.98573.4003Feb 26, 2026
Updated 18d ago

Evaluation Results

MethodLinks
2026.02
85.6869.7457.7361.5595.2874.297475.68-0.37
2026.02
80.8765.3254.1256.7191.1269.6469.6371.06-0.01
2026.02
78.4352.8546.2147.7689.3366.8962.9266.51-4.97
2026.02
77.7846.2550.4549.5189.7165.2762.7464.92-3.17
2026.02
77.6349.5439.0841.0489.2166.2459.364.81-8.68
2026.02
77.5441.8527.6240.1386.7564.9454.7861.76-12.7
2026.02
77.2650.3737.2140.8786.8265.0158.5163.63-8.13
2026.02
76.9441.1734.1839.6183.2260.4955.0260.73-6.83
2026.02
76.5852.3139.6545.6490.2166.6560.8864.95-7.22
2026.02
76.5450.2743.0143.3289.8566.3260.664.72-7.15
2026.02
76.0345.243.7942.3388.9564.4359.2663.35-6.46
2026.02
74.842.2934.0338.0179.2260.8353.6761.81-8.95
2026.02
74.6444.4230.0241.4787.1565.1655.5462.12-12.03
2026.02
74.3148.9533.2138.5481.5560.7755.3160.68-6.82
2026.02
71.3446.8426.3341.1788.7466.0654.8861.79-13.96
2026.02
69.6541.5925.4340.8887.4564.985361.13-14.97
2026.02
32.2928.2815.5935.5562.5634.85---