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Information Visual Question Answering on InfoVQA
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81.7
Accuracy
Vanilla
64.852
69.226
73.6
77.974
Dec 16, 2025
Dec 24, 2025
Jan 1, 2026
Jan 9, 2026
Jan 17, 2026
Jan 25, 2026
Feb 3, 2026
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Vanilla
Avg. Tokens=100%
2026.02
81.7
IVC-Prune
Avg. Tokens=50%
2026.02
80.9
Baseline
Model=Llama Nemotron N...
2026.01
79.3
QAD
Model=Llama Nemotron N...
2026.01
78.4
QAT
Model=Llama Nemotron N...
2026.01
78.3
PTQ
Model=Llama Nemotron N...
2026.01
78.2
FastV
Avg. Tokens=52%
2026.02
76.4
HyperVL ViTL
Number of Parameters=2.0B
2025.12
74.6
AndesVL
Number of Parameters=2.4B
2025.12
74.2
SAIL-VL2
Number of Parameters=2.7B
2025.12
73.5
Qwen3-VL
Number of Parameters=2.1B
2025.12
72.4
SAIL-VL1.5
Number of Parameters=2.5B
2025.12
71.8
InternVL3.5
Number of Parameters=2.3B
2025.12
70.8
HyperVL
Number of Parameters=1.8B
2025.12
70.2
Ovis2
Number of Parameters=2.5B
2025.12
69.7
PDrop
Avg. Tokens=52%
2026.02
69.4
InternVL3
Number of Parameters=2.1B
2025.12
66.1
Qwen2-VL
Number of Parameters=2.2B
2025.12
65.5
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