<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Music-Recommendation on 罗一阳's Insights</title><link>https://yiyang92.github.io/tags/music-recommendation/</link><description>Recent content in Music-Recommendation on 罗一阳's Insights</description><image><title>罗一阳's Insights</title><url>https://yiyang92.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</url><link>https://yiyang92.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</link></image><generator>Hugo -- 0.146.0</generator><language>en</language><lastBuildDate>Sat, 07 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://yiyang92.github.io/tags/music-recommendation/index.xml" rel="self" type="application/rss+xml"/><item><title>From Sound to Meaning: Leveraging Audio Language Models for Music Relevance Assessment</title><link>https://yiyang92.github.io/posts/audio-llm/from-sound-to-meaning-audio-llm-music-relevance/</link><pubDate>Sat, 07 Mar 2026 00:00:00 +0000</pubDate><guid>https://yiyang92.github.io/posts/audio-llm/from-sound-to-meaning-audio-llm-music-relevance/</guid><description>How foundation audio models and Audio LLMs bridge the gap between acoustic similarity and perceptual relevance</description></item></channel></rss>