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  path: mantis_eval/test-*
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  ---
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- This is a newly curated dataset to evaluate multimodal language models' capability to reason over multiple images. More details are shown in https://tiger-ai-lab.github.io/Mantis/.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: mantis_eval/test-*
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  ---
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+ ## Overview
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+ This is a newly curated dataset to evaluate multimodal language models' capability to reason over multiple images. More details are shown in https://tiger-ai-lab.github.io/Mantis/.
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+
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+ ### Statistics
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+ This evaluation dataset contains more than 200 human-annotated challenging multi-image reasoning problems.
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+
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+ ### Leaderboard
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+ | Models | Size | Mantis-Eval |
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+ |-------------------|------|-------------|
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+ | GPT-4V | - | 62.67 |
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+ | Mantis-SigLIP | 8B | 59.45 |
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+ | Mantis-Idefics2 | 8B | 57.14 |
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+ | Mantis-CLIP | 8B | 55.76 |
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+ | VILA | 8B | 51.15 |
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+ | BLIP-2 | 13B | 49.77 |
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+ | Idefics2 | 8B | 48.85 |
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+ | InstructBLIP | 13B | 45.62 |
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+ | LLaVA-V1.6 | 7B | 45.62 |
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+ | CogVLM | 17B | 45.16 |
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+ | Qwen-VL-Chat | 7B | 39.17 |
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+ | Emu2-Chat | 37B | 37.79 |
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+ | VideoLLaVA | 7B | 35.04 |
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+ | Mantis-Flamingo | 9B | 32.72 |
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+ | LLaVA-v1.5 | 7B | 31.34 |
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+ | Kosmos2 | 1.6B | 30.41 |
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+ | Idefics1 | 9B | 28.11 |
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+ | Fuyu | 8B | 27.19 |
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+ | OpenFlamingo | 9B | 12.44 |
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+ | Otter-Image | 9B | 14.29 |
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+
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+ ### Citation
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+ If you are using this dataset, please cite our work with
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+ ```
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+ @inproceedings{Jiang2024MANTISIM,
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+ title={MANTIS: Interleaved Multi-Image Instruction Tuning},
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+ author={Dongfu Jiang and Xuan He and Huaye Zeng and Cong Wei and Max W.F. Ku and Qian Liu and Wenhu Chen},
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+ publisher={arXiv2405.01483}
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+ year={2024},
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+ }
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+ ```