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SotA/Natural Language Processing/Visual Question Answering (VQA)/VLM2-Bench

Visual Question Answering (VQA) on VLM2-Bench

Metric: OC-grp (higher is better)

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#Model↕OC-grp▼Extra DataPaperDate↕Code
1GPT-4o57.5NoGPT-4o System Card2024-10-25-
2InternVL2.5-26B52.5NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
3Qwen2.5-VL-7B47.5NoQwen2.5-VL Technical Report2025-02-19Code
4InternVL2.5-8B46.5NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
5Qwen2-VL-7B35NoQwen2-VL: Enhancing Vision-Language Model's Perc...2024-09-18Code
6mPLUG-Owl3-7B31NomPLUG-Owl3: Towards Long Image-Sequence Understa...2024-08-09Code
7LLaVA-Video-7B28.5NoVideo Instruction Tuning With Synthetic Data2024-10-03-
8LLaVA-OneVision-7B27.5NoLLaVA-OneVision: Easy Visual Task Transfer2024-08-06Code
9LongVA-7B18.5NoLong Context Transfer from Language to Vision2024-06-24Code