<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sustainable AI | Nicola Gabriele</title><link>https://nicolagabriele.github.io/nicolagabriele/tags/sustainable-ai/</link><atom:link href="https://nicolagabriele.github.io/nicolagabriele/tags/sustainable-ai/index.xml" rel="self" type="application/rss+xml"/><description>Sustainable AI</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 25 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://nicolagabriele.github.io/nicolagabriele/media/icon_hu7729264130191091259.png</url><title>Sustainable AI</title><link>https://nicolagabriele.github.io/nicolagabriele/tags/sustainable-ai/</link></image><item><title>Is Reasoning What You Need to Mitigate Bias? A Study of Adversarial Robustness to Bias Elicitation in Large Reasoning Models</title><link>https://nicolagabriele.github.io/nicolagabriele/publication/bias_lrm/</link><pubDate>Sat, 25 Oct 2025 00:00:00 +0000</pubDate><guid>https://nicolagabriele.github.io/nicolagabriele/publication/bias_lrm/</guid><description/></item><item><title>A Parameter-Efficient Approach to Distilling Large Language Models via Meta-Learning</title><link>https://nicolagabriele.github.io/nicolagabriele/publication/metadistil/</link><pubDate>Tue, 23 Sep 2025 00:00:00 +0000</pubDate><guid>https://nicolagabriele.github.io/nicolagabriele/publication/metadistil/</guid><description/></item></channel></rss>