<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>CLIPs - Category - Naifan Li's Blog</title><link>https://blog.omagiclee.com/categories/clips/</link><description>CLIPs - Category - Naifan Li's Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Thu, 08 Jan 2026 16:44:10 +0800</lastBuildDate><atom:link href="https://blog.omagiclee.com/categories/clips/" rel="self" type="application/rss+xml"/><item><title>Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking</title><link>https://blog.omagiclee.com/posts/clips/qwen3-vl-embedding-reranker/</link><pubDate>Thu, 08 Jan 2026 16:44:10 +0800</pubDate><author>Naifan Li</author><guid>https://blog.omagiclee.com/posts/clips/qwen3-vl-embedding-reranker/</guid><description><![CDATA[<p><i class="fas fa-award fa-fw" aria-hidden="true"></i><span style="color:gray"></span>
<i class="fas fa-building fa-fw" aria-hidden="true"></i><span style="color:gray">Tongyi Lab, Alibaba Group</span>
<i class="fas fa-file-pdf fa-fw" aria-hidden="true"></i><a href="https://arxiv.org/abs/2601.04720" target="_blank" rel="noopener noreffer ">arXiv 2601.04720</a>
<i class="fab fa-github fa-fw" aria-hidden="true"></i><a href="https://github.com/QwenLM/Qwen3-VL-Embedding" target="_blank" rel="noopener noreffer ">QwenLM/Qwen3-VL-Embedding</a>
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<i class="fas fa-globe fa-fw" aria-hidden="true"></i><a href="" rel=""></a>
<i class="fas fa-blog fa-fw" aria-hidden="true"></i><a href="https://qwen.ai/blog?id=qwen3-vl-embedding" target="_blank" rel="noopener noreffer ">blog</a></p>
<h2 id="tldr">TL;DR</h2>
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<h2 id="motivations--innovations">Motivations &amp; Innovations</h2>
<h2 id="approach">Approach</h2>
<h3 id="model-architecture">Model Architecture</h3>
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<h3 id="training-recipe">Training Recipe</h3>
<p></p>]]></description></item><item><title>CLIP: Learning Transferable Visual Models From Natural Language Supervision</title><link>https://blog.omagiclee.com/posts/clips/clip/</link><pubDate>Fri, 26 Feb 2021 15:15:52 +0800</pubDate><author>Naifan Li</author><guid>https://blog.omagiclee.com/posts/clips/clip/</guid><description><![CDATA[<p><i class="fas fa-building fa-fw" aria-hidden="true"></i><span style="color:gray">OpenAI</span>
<i class="fas fa-file-pdf fa-fw" aria-hidden="true"></i><a href="https://arxiv.org/abs/2103.00020" target="_blank" rel="noopener noreffer ">arXiv 2103.00020</a>
<i class="fab fa-github fa-fw" aria-hidden="true"></i><a href="https://github.com/OpenAI/CLIP" target="_blank" rel="noopener noreffer ">GitHub</a></p>
<h2 id="tldr">TL;DR</h2>
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<h2 id="motivations--innovations">Motivations &amp; Innovations</h2>
<p>123fgdffsadf
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<h2 id="approach">Approach</h2>
<h3 id="model-architecture">Model Architecture</h3>
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<h3 id="training-recipe">Training Recipe</h3>
<h3 id="data-recipe">Data Recipe</h3>
<h2 id="experiments">Experiments</h2>
<p>Test content.</p>
<h2 id="references">References</h2>
<h2 id="question">Question</h2>]]></description></item></channel></rss>