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

Visual Question Answering (VQA) on VLM2-Bench

Metric: PC-cpr (higher is better)

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#Model↕PC-cpr▼Extra DataPaperDate↕Code
1Qwen2.5-VL-7B80NoQwen2.5-VL Technical Report2025-02-19Code
2mPLUG-Owl3-7B63.5NomPLUG-Owl3: Towards Long Image-Sequence Understa...2024-08-09Code
3LLaVA-Video-7B62NoVideo Instruction Tuning With Synthetic Data2024-10-03-
4LLaVA-OneVision-7B62NoLLaVA-OneVision: Easy Visual Task Transfer2024-08-06Code
5Qwen2-VL-7B61.5NoQwen2-VL: Enhancing Vision-Language Model's Perc...2024-09-18Code
6InternVL2.5-26B59.5NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
7InternVL2.5-8B51.5NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
8GPT-4o50NoGPT-4o System Card2024-10-25-
9LongVA-7B21.5NoLong Context Transfer from Language to Vision2024-06-24Code