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SotA/Natural Language Processing/Question Answering/VNBench

Question Answering on VNBench

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1BIMBA-LLaVA-Qwen2-7B77.88NoBIMBA: Selective-Scan Compression for Long-Range...2025-03-12Code
2Gemini66.7NoGemini 1.5: Unlocking multimodal understanding a...2024-03-08Code
3LLaVA-OneVision-72B58.7NoLLaVA-OneVision: Easy Visual Task Transfer2024-08-06Code
4LLaVA-OneVision-7B51.8NoLLaVA-OneVision: Easy Visual Task Transfer2024-08-06Code
5Qwen2-VL-7B33.9NoQwen2-VL: Enhancing Vision-Language Model's Perc...2024-09-18Code
6LLaVA-NeXT-Video-7B20.1NoLLaVA-NeXT-Interleave: Tackling Multi-image, Vid...2024-07-10Code
7VideoChat212.4NoVideoChat: Chat-Centric Video Understanding2023-05-10Code
8VideoLLaMA24.5NoVideoLLaMA 2: Advancing Spatial-Temporal Modelin...2024-06-11Code
9VideoChatGPT4.1NoVideo-ChatGPT: Towards Detailed Video Understand...2023-06-08Code