We propose HtmlRAG, which uses HTML instead of plain text as the format of external knowledge in RAG systems. To tackle the long context brought by HTML, we propose Lossless HTML Cleaning and Two-Step ...
Abstract: In recent years, large language models (LLM) have progressed rapidly, leading to growing concerns about the proliferation of difficult-to-distinguish AI-generated content. This has given ...
Abstract: Recently, learning-based lossless compression methods for volumetric medical images have attracted much attention. They can achieve higher compression ratios than traditional methods, albeit ...
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