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Text-based Visual Question Answering on VQAText

86.1Accuracy

AutoV

Updated 4d ago

Evaluation Results

Method	Links
AutoV 2025.06		86.1	-
API 2025.06		85.3	-
Base 2025.06		83	-
Circle 2025.06		80.5	-
AutoV 2025.06		78	-
AutoV 2025.06		78	-
FGVP 2025.06		78	-
API 2025.06		77.7	-
Circle 2025.06		77.2	-
Base 2025.06		77	-
API 2025.06		77	-
Base 2025.06		76.1	-
Circle 2025.06		74.9	-
FGVP 2025.06		70.7	-
Vanilla 2026.02		65.5	100
FGVP 2025.06		65.4	-
Upper Bound 2026.04		64.9	-
SwiftVLM 2026.02		64.1	98
AutoV 2025.06		62.7	-
FEATHER 2026.02		62.6	92.8
SwiftVLM 2026.02		62.4	97.1
API 2025.06		62.1	-
CLASP 2026.04		61.8	-
CLASP 2026.04		61.7	-
Base 2025.06		61.2	-
FEATHER 2026.02		60.9	87.5
AutoV 2025.06		60.6	-
SparseVLM 2026.04		59.7	-
CLASP 2026.04		59.3	-
FastV 2026.02		58.7	75.1
API 2025.06		58.4	-
SparseVLM 2026.04		58.4	-
Base 2025.06		58.2	-
LLaVA-1.5-7B 2025.03		58.2	100
Upper Bound 2026.04		58.2	-
Circle 2025.06		58.1	-
TwigVLM++ 2025.03		58	99.6
TwigVLM++ 2025.03		58	99.2
CLASP 2026.04		57.6	-
TwigVLM++ 2025.03		56.7	97.7
CLASP 2026.04		56.7	-
SparseVLM 2026.04		55.9	-
Circle 2025.06		55.5	-
CLASP 2026.04		55.2	-
FastV 2026.02		52.6	66.9
FGVP 2025.06		49.2	-
FGVP 2025.06		46.3	-