Domain-Incremental Learning on MLLM-CL benchmark leaderboard · SOTA2 Research

Domain-Incremental Learning on MLLM-CL

85.68RS Scoreϕ-DPO

Evaluation Results

Method	Links
ϕ-DPO2026.02		85.68	69.74	57.73	61.55	95.28	74.29	74	75.68	-0.37
MR-LoRA2026.02		80.87	65.32	54.12	56.71	91.12	69.64	69.63	71.06	-0.01
SEFE2026.02		78.43	52.85	46.21	47.76	89.33	66.89	62.92	66.51	-4.97
DISCO2026.02		77.78	46.25	50.45	49.51	89.71	65.27	62.74	64.92	-3.17
MoELoRA2026.02		77.63	49.54	39.08	41.04	89.21	66.24	59.3	64.81	-8.68
MoELoRA2026.02		77.54	41.85	27.62	40.13	86.75	64.94	54.78	61.76	-12.7
SEFE2026.02		77.26	50.37	37.21	40.87	86.82	65.01	58.51	63.63	-8.13
O-LoRA2026.02		76.94	41.17	34.18	39.61	83.22	60.49	55.02	60.73	-6.83
CL-MoE2026.02		76.58	52.31	39.65	45.64	90.21	66.65	60.88	64.95	-7.22
LoRA-FT2026.02		76.54	50.27	43.01	43.32	89.85	66.32	60.6	64.72	-7.15
DISCO2026.02		76.03	45.2	43.79	42.33	88.95	64.43	59.26	63.35	-6.46
HiDe2026.02		74.8	42.29	34.03	38.01	79.22	60.83	53.67	61.81	-8.95
O-LoRA2026.02		74.64	44.42	30.02	41.47	87.15	65.16	55.54	62.12	-12.03
HiDe2026.02		74.31	48.95	33.21	38.54	81.55	60.77	55.31	60.68	-6.82
CL-MoE2026.02		71.34	46.84	26.33	41.17	88.74	66.06	54.88	61.79	-13.96
LoRA-FT2026.02		69.65	41.59	25.43	40.88	87.45	64.98	53	61.13	-14.97
Zeroshot2026.02		32.29	28.28	15.59	35.55	62.56	34.85	—	—	—