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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Extending the Context of Pretrained LLMs by Dropping Their Positional Embeddings · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2512.12167/</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/2512.12167/feed.xml" rel="self" type="application/rss+xml" /><item><title>Extending the Context of Pretrained LLMs by Dropping Their Positional Embeddings — mentioned by in-silico</title><link>https://news.ycombinator.com/item?id=50082809</link><guid isPermaLink="false">urn:hackerpapers:mention:2512.12167:50082809</guid><pubDate>Wed, 14 Oct 2026 05:33:40 GMT</pubDate><description>&lt;p&gt;I like the enthusiasm but no they actually work fine without positional encodings: https://arxiv.org/abs/2512.12167&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2512.12167/"&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>
