✨Proxy Compression for Language Modeling

📝 Summary:
Proxy compression trains language models on both raw bytes and compressed views. This enables efficient training on compressed inputs while offering a robust, end-to-end raw-byte inference. It improves training efficiency and eventually matches tokenizer performance.

🔹 Publication Date: Published on Feb 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.04289
• PDF: https://arxiv.org/pdf/2602.04289
• Github: https://github.com/LZhengisme/proxy-compression

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#LanguageModels #Compression #MachineLearning #AI #Efficiency