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Visual Question Answering

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Papers

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TitleStatusHype
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Small Language Model Meets with Reinforced Vision Vocabulary—0
Free Form Medical Visual Question Answering in Radiology—0
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
Uncovering the Full Potential of Visual Grounding Methods in VQACode0
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining—0
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language ModelCode0
Hallucination Benchmark in Medical Visual Question AnsweringCode0
GRAM: Global Reasoning for Multi-Page VQA—0
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All datasetsMM-VetViP-BenchVQA v2 test-devBenchLMMMMBenchV*benchVQA v2 valMSRVTT-QAVQA v2 test-stdMMHal-BenchMSVD-QAPlotQA-D1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24—Unverified
2Qwen2-VL-72BGPT-4 score74—Unverified
3InternVL2.5-78BGPT-4 score72.3—Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2—Unverified
5Lyra-ProGPT-4 score71.4—Unverified
6GLM-4V-PlusGPT-4 score71.1—Unverified
7Phantom-7BGPT-4 score70.8—Unverified
8InternVL2.5-38BGPT-4 score68.8—Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6—Unverified
10Baichuan-Omni (7B)GPT-4 score65.4—Unverified