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ResearchFormerly WizWand

Multimodal Retrieval and Understanding on MMEB V2

70Image CLS AccuracyLaME

Evaluation results

Method	Links
LaME2026.06		70	71	73.1	85.8	73	51	64.8	40.3	44.6	50.8	81.5	58.2	85	68.2	75.9	68.8
Ops-MM-Embed2026.06		69.7	69.6	73.1	87.2	72.7	59.7	62.2	45.7	43.2	53.8	80.1	59.6	79.3	67.8	74.4	68.9
Ops-MM-Embed2026.06		68.1	65.1	69.2	80.9	69	53.6	55.7	41.8	33.7	47.6	76.4	53.2	77.6	32.6	65.5	63
LaME2026.06		67.6	66.2	70.5	81.2	69.3	45.6	52.3	36.3	43.5	44.5	78.2	48.4	82.8	55.4	72.1	64.4
UME-R12026.06		67.1	69.2	71.9	84.9	71.3	48.6	60.7	38.2	39.3	47.5	75.7	50.5	83.7	37.6	67.1	64.5
PLUME2026.06		66.5	59.2	67.6	79.7	66.3	45	52.3	33.5	46.7	44.1	72.1	49.8	78.1	57.4	67.5	61.6
UME-R12026.06		64.8	62.8	67.6	77.2	66.6	44.3	51	32.9	39.7	42.2	72.4	46.2	79.2	28.9	62.5	59.7
CAFe2026.06		63.6	61.7	69.1	87.6	67.6	35.8	58.7	34.4	39.5	42.4	70.7	49.6	79.5	38.1	63.9	60.6
VLM2Vec2026.06		62.7	56.9	69.4	82.2	65.5	39.1	30	29	40.6	34	56.9	9.4	59.1	38.1	46.4	52.3
VLM2Vec-V22026.06		62	56.3	69.5	77.3	64.9	39.3	34.3	28.8	38.5	34.9	75.5	44.9	79.4	39.4	65.4	58
LamRA2026.06		59.2	26.5	70	62.7	54.1	39.3	42.6	24.3	34.6	35.2	22	11.5	37.4	21	23.9	40.4
VLM2Vec2026.06		58.7	49.3	65	72.9	59.7	33.4	30.5	20.6	33	29	49.8	13.5	51.8	33.5	41.6	47
GME2026.06		57.7	34.7	71.2	59.3	56	37.4	50.4	28.4	38.2	38.6	89.4	55.6	85	44.4	75.2	57.8
GME2026.06		54.4	29.9	66.9	55.5	51.9	34.9	42	25.6	32.4	33.9	86.1	54	82.5	43.1	72.7	54.1
LamRA2026.06		51.7	34.1	66.9	56.7	52.4	32.9	42.6	23.2	37.6	33.7	56.3	33.3	58.2	40.1	50.2	47.4
ColPali-V1.32026.06		40.5	11.5	48.2	39.8	34.9	26.6	37.8	21.5	26.2	28.2	84.6	54.8	81	33.1	70.1	44.2