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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Memorizing Transformers · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2203.08913/</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/2203.08913/feed.xml" rel="self" type="application/rss+xml" /><item><title>Memorizing Transformers — mentioned by cs702</title><link>https://news.ycombinator.com/item?id=40184002</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.08913:40184002</guid><pubDate>Sat, 27 Apr 2024 22:02:28 GMT</pubDate><description>&lt;p&gt;No. RAG is about finding relevant documents/paragraphs (via KNN lookups of their embeddings) and then inserting those documents/paragraphs into the input context, as sequences of input tokens. What I&amp;#x27;m talking about is different: https://arxiv.org/abs/2203.08913&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.08913/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Memorizing Transformers — HN submission</title><link>https://news.ycombinator.com/item?id=31448360</link><guid isPermaLink="false">urn:hackerpapers:submission:2203.08913:31448360</guid><pubDate>Fri, 20 May 2022 14:58:29 GMT</pubDate><description>&lt;p&gt;Memorizing Transformers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;179 points; 32 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2203.08913/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
