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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.04617/</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/2402.04617/feed.xml" rel="self" type="application/rss+xml" /><item><title>InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory — mentioned by throwaway888abc</title><link>https://news.ycombinator.com/item?id=40015172</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.04617:40015172</guid><pubDate>Fri, 12 Apr 2024 17:04:36 GMT</pubDate><description>&lt;p&gt;Paper: InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory https://arxiv.org/abs/2402.04617&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.04617/"&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>
