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Benchmarks
Image Reasoning on MMMU
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67.5
Accuracy
OPD T→V
31.412
40.781
50.15
59.519
Apr 29, 2026
May 4, 2026
May 10, 2026
May 15, 2026
May 21, 2026
May 26, 2026
Jun 1, 2026
Accuracy
Updated 1d ago
Evaluation Results
Method
Method
Links
Accuracy
OPD T→V
Training Strategy=Stat...
2026.04
67.5
CoPD
Training Strategy=Co-E...
2026.04
66.94
Mixed RLVR
Training Strategy=Join...
2026.04
66.39
OPD V→T
Training Strategy=Stat...
2026.04
65.94
Text-Expert
Training Strategy=Text...
2026.04
65.72
Image-Expert
Training Strategy=Imag...
2026.04
65.28
Base
Training Strategy=Base...
2026.04
65.06
Scaled base VLM 7B + Joint FFT
Train Data=3.6M + 1.6M
2026.06
47.4
Scaled base VLM 7B
Train Data=3.6M
2026.06
45.1
Scaled base VLM 7B + MERIT (Proposed, 2D)
Train Data=3.6M + 1.6M
2026.06
44.8
Base VLM 7B + Joint FFT
Train Data=0.7M + 1.6M
2026.06
36.4
Base VLM 7B + MERIT (Proposed, 2D)
Train Data=0.7M + 1.6M
2026.06
36.1
LLaVA-1.5-7B
Train Data=0.7M
2026.06
35.3
LLaVA-1.5-13B + Joint FFT
Train Data=0.7M + 0.2M
2026.06
34.4
LLaVA-7B
Train Data=0.6M
2026.06
34.1
LLaVA-1.5-13B
Train Data=0.7M
2026.06
33.6
Base VLM 7B
Train Data=0.7M
2026.06
32.8
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