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Visual Question Answering

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Showing 1151–1175 of 2177 papers

TitleStatusHype
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation—0
ViLMedic: a framework for research at the intersection of vision and language in medical AI—0
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context—0
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents—0
MIMOQA: Multimodal Input Multimodal Output Question Answering—0
MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis—0
Mindstorms in Natural Language-Based Societies of Mind—0
Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection—0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering—0
Enforcing Reasoning in Visual Commonsense Reasoning—0
End-to-End Vision Tokenizer Tuning—0
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Where is this coming from? Making groundedness count in the evaluation of Document VQA models—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive Decoding—0
EmoAssist: Emotional Assistant for Visual Impairment Community—0
Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy—0
Data-augmented phrase-level alignment for mitigating object hallucination—0
Mitigating the Impact of Attribute Editing on Face Recognition—0
MIVC: Multiple Instance Visual Component for Visual-Language Models—0
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering—0
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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