<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Centric | Yiqiao Jin CS PhD @ Georgia Tech</title><link>https://ahren09.github.io/tags/data-centric/</link><atom:link href="https://ahren09.github.io/tags/data-centric/index.xml" rel="self" type="application/rss+xml"/><description>Data-Centric</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 31 Jul 2025 00:00:00 +0000</lastBuildDate><image><url>https://ahren09.github.io/media/icon_hu_eee6347cbdb2cc3f.png</url><title>Data-Centric</title><link>https://ahren09.github.io/tags/data-centric/</link></image><item><title>A Survey on Efficient LLM Training: From Data-centric Perspectives</title><link>https://ahren09.github.io/publication/acl25_efficient_llm_training/</link><pubDate>Thu, 31 Jul 2025 00:00:00 +0000</pubDate><guid>https://ahren09.github.io/publication/acl25_efficient_llm_training/</guid><description>&lt;h2 id="abstract">Abstract&lt;/h2>
&lt;p>Efficient training of large language models has become a central concern as model and data scales grow. This survey reviews efficient LLM training from a data-centric perspective, organizing techniques around data selection, mixing, ordering, and synthesis.&lt;/p>
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