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Visual Question Answering

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TitleStatusHype
Multimodal Commonsense Knowledge Distillation for Visual Question Answering—0
VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework—0
Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation—0
Multimodal Continuous Visual Attention Mechanisms—0
Multi-modal Deep Analysis for Multimedia—0
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration—0
Vision-Language Models as Success Detectors—0
Vision Language Models Can Parse Floor Plan Maps—0
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!—0
Multimodal Few-Shot Learning with Frozen Language Models—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