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README.md
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license: apache-2.0
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license: apache-2.0
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---
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# Model Card for AtomThink-LLaVA-Llama3-8B
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The model is post-trained based on LLaVA-Llama3-8B and the AtomThink framework, and can be used to solve complex multimodal mathematical problems.
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# Comparison of accuracy with state-of-the-art methods on MathVista and MathVerse:
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| **Model** | **Inference** | **General** | **Math** | **Total** | **TL** | **TD** | **VI** | **VD** | **VO** | **Total** |
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|-----------------------|---------------|-------------|----------|-----------|----------|----------|----------|----------|----------|-----------|
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| Random Choice | - | - | - | 17.9 | 12.4 | 12.4 | 12.4 | 12.4 | 12.4 | 12.4 |
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| Human | - | - | - | - | 70.9 | 71.2 | 61.4 | 68.3 | 66.7 | 66.7 |
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| OpenAI o1 | Slow Think* | - | - | 73.9 | - | - | - | - | - | - |
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| GPT-4o | CoT | - | - | 63.8 | - | - | - | - | - | - |
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| GPT-4V | CoT | - | - | 49.9 | 56.6 | 63.1 | 51.4 | 50.8 | 50.3 | 54.4 |
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| LLaVA-NeXT-34B | Direct | - | - | 46.5 | 25.5 | 33.8 | 23.5 | 20.3 | 15.7 | 23.8 |
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| InternLM-XComposer2 | Direct | - | - | 57.6 | 17.0 | 22.3 | 15.7 | 16.4 | 11.0 | 16.5 |
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| Qwen-VL-Plus | Direct | - | - | 43.3 | 11.1 | 15.7 | 9.0 | 13.0 | 10.0 | 11.8 |
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| LLaVA-1.5-13B | Direct | - | - | 27.6 | 15.2 | 19.4 | 16.8 | 15.2 | 11.3 | 15.6 |
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| G-LLaVA-7B | Direct | - | - | 53.4 | 20.7 | 20.9 | 17.2 | 14.6 | 9.4 | 16.6 |
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| MAVIS-7B | Direct | - | - | - | 29.1 | 41.4 | 27.4 | 24.9 | 14.6 | 27.5 |
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| LLaVA-Llama3-8B | Direct | 34.1 | 25.6 | 29.5 | 16.0 | 19.3 | 16.4 | 13.1 | 15.0 | 15.9 |
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| LLaVA w/. Formatted | CoT | 30.2 | 22.9 | 26.3 | 14.3 | 18.4 | 15.7 | 10.0 | 7.7 | 13.2 |
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| AtomThink-LLaVA | Direct | 34.4 | 27.2 | 30.5 | 16.0 | 19.3 | 16.2 | 13.1 | 15.0 | 15.9 |
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| AtomThink-LLaVA | Quick Think | **36.9** | **37.0** | **36.6** | **22.2** | **26.6** | **24.1** | **20.9** | **17.9** | **22.4** |
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| AtomThink-LLaVA | Slow Think | **36.5** | **41.3** | **39.1** | **36.1** | **42.4** | **30.0** | **36.8** | **28.6** | **34.7** |
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# Citation
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If you use this dataset in your research, please cite:
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```text
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@article{xiang2024atomthink,
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title={AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning},
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author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and Zeng, Yihan and Han, Jianhua and others},
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journal={arXiv preprint arXiv:2411.11930},
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year={2024}
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}
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@article{liu2024visual,
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title={Visual instruction tuning},
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author={Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae},
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journal={Advances in neural information processing systems},
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volume={36},
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year={2024}
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}
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```
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# License
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The checkpoint is released under the Apache 2.0 license. Please ensure proper attribution when using this checkpoint.
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