<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multilingual on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/multilingual/</link><description>Recent content in Multilingual on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/multilingual/index.xml" rel="self" type="application/rss+xml"/><item><title>XLM-RoBERTa</title><link>https://terms-en.ai-term-hub.com/en/terms/xlm_roberta/</link><pubDate>Sat, 18 Jul 2026 10:20:18 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/xlm_roberta/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>XLM-RoBERTa (Cross-lingual Language Model RoBERTa) is a large-scale multilingual model developed by Meta AI. It extends the RoBERTa architecture by pre-training on a diverse dataset covering over 100 languages. This allows the model to learn shared representations across languages, enabling strong performance in cross-lingual transfer tasks. It is widely used for machine translation, multilingual classification, and zero-shot cross-lingual information retrieval without needing language-specific fine-tuning.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A multilingual transformer model based on RoBERTa, pre-trained on massive amounts of text from 100+ languages.&lt;/p></description></item></channel></rss>