<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fine-tuning | Emmanouil Karystinaios</title><link>https://emmanouil-karystinaios.github.io/tag/fine-tuning/</link><atom:link href="https://emmanouil-karystinaios.github.io/tag/fine-tuning/index.xml" rel="self" type="application/rss+xml"/><description>Fine-tuning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 30 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://emmanouil-karystinaios.github.io/media/icon_hu4c3aa08d28a737b1b7fdd38226539d61_369298_512x512_fill_lanczos_center_3.png</url><title>Fine-tuning</title><link>https://emmanouil-karystinaios.github.io/tag/fine-tuning/</link></image><item><title>How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation</title><link>https://emmanouil-karystinaios.github.io/publication/2026_nlp4musa_symbolicllms/</link><pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate><guid>https://emmanouil-karystinaios.github.io/publication/2026_nlp4musa_symbolicllms/</guid><description/></item></channel></rss>