📝 [docs] Update README badges and branding consistency
Add arXiv paper badge, fix TexTeller3.0 capitalization, and update documentation links for improved consistency. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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📄 中文 | [English](./README.md)
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📄 中文 | [English](../README.md)
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<div align="center">
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<h1>
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<img src="./fire.svg" width=30, height=30>
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<img src="./fire.svg" width=60, height=60>
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𝚃𝚎𝚡𝚃𝚎𝚕𝚕𝚎𝚛
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<img src="./fire.svg" width=30, height=30>
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<img src="./fire.svg" width=60, height=60>
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</h1>
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[](https://oleehyo.github.io/TexTeller/)
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[](https://arxiv.org/abs/2508.09220)
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[](https://hub.docker.com/r/oleehyo/texteller)
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[](https://huggingface.co/datasets/OleehyO/latex-formulas-80M)
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[](https://huggingface.co/OleehyO/TexTeller)
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[](https://huggingface.co/datasets/OleehyO/latex-formulas-80M)
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[](https://huggingface.co/OleehyO/TexTeller)
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[](https://opensource.org/licenses/Apache-2.0)
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</div>
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@@ -70,7 +71,7 @@ TexTeller 使用 **8千万图像-公式对** 进行训练(前代数据集可
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- [2024-03-25] TexTeller2.0 发布!TexTeller2.0 的训练数据增至750万(是前代的15倍并提升了数据质量)。训练后的 TexTeller2.0 在测试集中展现了**更优性能**,特别是在识别罕见符号、复杂多行公式和矩阵方面表现突出。
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> [此处](./assets/test.pdf) 展示了更多测试图像及各类识别模型的横向对比。
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> [此处](./test.pdf) 展示了更多测试图像及各类识别模型的横向对比。
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## 🚀 快速开始
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