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license: apache-2.0
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<h1 align="center">
Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2410.12788">
<img alt="arXiv Paper" src="https://img.shields.io/badge/arXiv-Paper-b31b1b.svg?logo=arxiv">
</a>
<a href="https://huggingface.co/papers/2410.12788">
<img src="https://img.shields.io/badge/Huggingface-Paper-yellow?style=flat-square&logo=huggingface">
</a>
<a href="https://opensource.org/license/apache-2-0">
<img alt="Apache 2.0 License" src="https://img.shields.io/badge/License-Apache_2.0-green.svg?logo=apache">
</a>
</p>
The summary and rewrite models were fully fine-tuned on the Qwen2.5-3B-Instruct utilizing 20K data entries from the CRUD benchmark, which was prepared with ERNIE-3.5-128K and QwQ-32B.
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