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Web UI Question Answering on VisualWebBench
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67.3
Accuracy
DAVE
6.876
22.563
38.25
53.937
Dec 19, 2025
Accuracy
Updated 3d ago
Evaluation Results
Method
Method
Links
Accuracy
DAVE
LLM Backbone=Qwen-2.5-...
2025.12
67.3
SigLIP 2
LLM Backbone=Qwen-2.5-...
2025.12
65.4
AIMv2
LLM Backbone=Qwen-2.5-...
2025.12
64.9
Dophine
LLM Backbone=Qwen-2.5-...
2025.12
60.7
MAE-Web
LLM Backbone=Qwen-2.5-...
2025.12
59.5
DAVE
LLM Backbone=Llama-3.2...
2025.12
59.2
SigLIP 2
LLM Backbone=Llama-3.2...
2025.12
54.7
Pix2struct
LLM Backbone=Qwen-2.5-...
2025.12
52.3
Dophine
LLM Backbone=Llama-3.2...
2025.12
48.8
AIMv2
LLM Backbone=Llama-3.2...
2025.12
46.7
MAE-Web
LLM Backbone=Llama-3.2...
2025.12
36.9
Pix2Struct
LLM Backbone=Llama-3.2...
2025.12
22.6
DinoV2
LLM Backbone=Llama-3.2...
2025.12
13.2
DiT
LLM Backbone=Llama-3.2...
2025.12
9.2
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