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Visual Question Answering

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Papers

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Showing 1101–1125 of 2177 papers

TitleStatusHype
MANGO: Enhancing the Robustness of VQA Models via Adversarial Noise Generation—0
Explicit Knowledge-based Reasoning for Visual Question Answering—0
Video Question Answering via Attribute-Augmented Attention Network Learning—0
Explicit Bias Discovery in Visual Question Answering Models—0
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA—0
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey—0
Anatomy Might Be All You Need: Forecasting What to Do During Surgery—0
Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems—0
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering—0
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models—0
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
Everything is a Video: Unifying Modalities through Next-Frame Prediction—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models—0
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models—0
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models—0
VILA^2: VILA Augmented VILA—0
Measuring Machine Intelligence Through Visual Question Answering—0
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model—0
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks—0
Evaluating the Representational Hub of Language and Vision Models—0
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data—0
Evaluating Attribute Confusion in Fashion Text-to-Image Generation—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