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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A3 : an Analytical Low-Rank Approximation Framework for Attention · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.12942/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2505.12942/feed.xml" rel="self" type="application/rss+xml" /><item><title>A3 : an Analytical Low-Rank Approximation Framework for Attention — mentioned by thw20</title><link>https://news.ycombinator.com/item?id=47851290</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.12942:47851290</guid><pubDate>Tue, 21 Apr 2026 16:46:59 GMT</pubDate><description>&lt;p&gt;Good work! This is very interesting. Here&amp;#x27;s a related work that construct low-rank approximation for attention: https://arxiv.org/abs/2505.12942. Maybe the idea of Query calibration matrix Rxx is of interest to the author!&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.12942/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
