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Visual Question Answering

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TitleStatusHype
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-raysCode0
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLMCode4
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks—0
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal RetrieversCode3
Visually Dehallucinative Instruction GenerationCode0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language ModelsCode4
Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image DataCode0
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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