  <?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="/global/templates/rss_template.xsl"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
        <title>School of Natural &amp; Computing Sciences - Current and Upcoming Seminars</title>
        <description>Current and Upcoming Seminars at School of Natural &amp; Computing Sciences</description>
        <link>/ncs/departments/computing-science/news-events-and-seminars/seminars/</link>
        <atom:link href="/ncs/departments/computing-science/news-events-and-seminars/seminars/rss.xml" rel="self" type="application/rss+xml" />
        <image>
            <url>/global/images/layout/uni_logo_2016_pad_rss.gif</url>
            <title>School of Natural &amp; Computing Sciences - Current and Upcoming Seminars</title>
            <link>/ncs/departments/computing-science/news-events-and-seminars/seminars/</link>
        </image>

        <item>
            <link>/ncs/departments/computing-science/news-events-and-seminars/seminars/25417/</link>
            <guid isPermaLink="true">/ncs/departments/computing-science/news-events-and-seminars/seminars/25417/</guid>
            <title><![CDATA[CS Seminar by Dr Yulong Chen]]></title>
            <pubDate>Wed, 11 Nov 2026 14:00:00 +0000</pubDate>
            <description><![CDATA[
                    <a href="/ncs/departments/computing-science/news-events-and-seminars/seminars/25417/">
                        <img src="/img/150,sc/uploads/ncs/news-events/events/images/thumbs/Yulong.png" alt="" width="150">
                    </a>
                    <br>
                    <p><strong data-ogsc="">Speaker:</strong> Dr Yulong Chen, ºÚÁÏÍø (<a href="/people/yulong.chen">/people/yulong.chen</a>)</p>
<p><strong data-ogsc="">Title:</strong> Benchmarking Metalinguistic Reasoning in LLMs with Camlang</p>
<p><strong data-ogsc="">Location:</strong> Microsoft Teams and MT 1 (Meston Lecture Theatre 1)</p>
<p><strong data-ogsc="">Date:</strong> Wednesday, November 11th, 14:00 - 15:00 (UK time)</p>
<p><strong data-ogsc="">Abstract:</strong></p>
<p>Modern large language models (LLMs) perform impressively on many language tasks, but it...</p>]]></description>
        </item>
        
    </channel>
</rss>
