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

Visual Question Answering (VQA) on VLM2-Bench

Metric: GC-trk (higher is better)

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#Model↕GC-trk▼Extra DataPaperDate↕Code
1Qwen2.5-VL-7B43.38NoQwen2.5-VL Technical Report2025-02-19Code
2GPT-4o39.27NoGPT-4o System Card2024-10-25-
3InternVL2.5-26B30.59NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
4InternVL2.5-8B26.03NoExpanding Performance Boundaries of Open-Source ...2024-12-06Code
5Qwen2-VL-7B19.18NoQwen2-VL: Enhancing Vision-Language Model's Perc...2024-09-18Code
6LongVA-7B19.18NoLong Context Transfer from Language to Vision2024-06-24Code
7mPLUG-Owl3-7B18.26NomPLUG-Owl3: Towards Long Image-Sequence Understa...2024-08-09Code
8LLaVA-OneVision-7B13.7NoLLaVA-OneVision: Easy Visual Task Transfer2024-08-06Code
9LLaVA-Video-7B12.79NoVideo Instruction Tuning With Synthetic Data2024-10-03-