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Visual Question Answering

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Showing 1451–1475 of 2177 papers

TitleStatusHype
Co-VQA : Answering by Interactive Sub Question Sequence—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training—0
Probing the Role of Positional Information in Vision-Language Models—0
Probing the Role of Positional Information in Vision-Language Models—0
Probing Visual Language Priors in VLMs—0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data—0
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment—0
Counterfactual Vision and Language Learning—0
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem—0
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering—0
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3—0
Connecting Language and Vision to Actions—0
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering—0
Compressing Visual-linguistic Model via Knowledge Distillation—0
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention—0
Proposing Plausible Answers for Open-ended Visual Question Answering—0
PropTest: Automatic Property Testing for Improved Visual Programming—0
Compound Tokens: Channel Fusion for Vision-Language Representation Learning—0
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—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