<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Vector-Quantization - Tag -</title><link>https://heather-song-blog.com/tags/vector-quantization/</link><description>Vector-Quantization - Tag -</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Mon, 10 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://heather-song-blog.com/tags/vector-quantization/" rel="self" type="application/rss+xml"/><item><title>Recommender Systems with Generative Retrieval (TIGER)</title><link>https://heather-song-blog.com/reading-notes/tiger-generative-retrieval/</link><pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate><author>xxxx</author><guid>https://heather-song-blog.com/reading-notes/tiger-generative-retrieval/</guid><description>Semantic IDs via RQ-VAE, the straight-through estimator, and generative retrieval with an encoder-decoder Transformer</description></item><item><title>OneSearch: From Search-Specific Semantic IDs to Generative Ranking and DPO</title><link>https://heather-song-blog.com/reading-notes/onesearch-generative-search-dpo/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><author>xxxx</author><guid>https://heather-song-blog.com/reading-notes/onesearch-generative-search-dpo/</guid><description>Search-aware Semantic IDs (RQ + OPQ), generative retrieval with beam search, and using DPO to distill a reward model&amp;rsquo;s ranking preferences into the generator</description></item></channel></rss>