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

Visual Question Answering (VQA) on VLM2-Bench

Metric: PC-grp (higher is better)

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#Model↕PC-grp▼Extra DataPaperDate↕Code
1Qwen2.5-VL-7B69NoQwen2.5-VL Technical Report2025-02-19Code
2InternVL2.5-26B61NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
3InternVL2.5-8B52NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
4Qwen2-VL-7B49NoQwen2-VL: Enhancing Vision-Language Model's Perc...2024-09-18Code
5GPT-4o47NoGPT-4o System Card2024-10-25-
6LLaVA-OneVision-7B37NoLLaVA-OneVision: Easy Visual Task Transfer2024-08-06Code
7mPLUG-Owl3-7B26NomPLUG-Owl3: Towards Long Image-Sequence Understa...2024-08-09Code
8LLaVA-Video-7B25NoVideo Instruction Tuning With Synthetic Data2024-10-03-
9LongVA-7B18NoLong Context Transfer from Language to Vision2024-06-24Code