<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.09250/</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/2603.09250/feed.xml" rel="self" type="application/rss+xml" /><item><title>Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval — mentioned by SubiculumCode</title><link>https://news.ycombinator.com/item?id=49087271</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.09250:49087271</guid><pubDate>Tue, 28 Jul 2026 17:35:06 GMT</pubDate><description>&lt;p&gt;In human memory, we often use a sense of familiarity to guide our memory decision, in the absence of explicit recollection of details. There is a whole memory literature about &amp;quot;recollection and familiarity&amp;quot; that dissociates the two cognitive processes, recollection which involves retrieval of specific details of an experience, and familiarity, which is a sense of memory strength, but absent of any qualitative detail. Familiarity is a faster process, and can often spur subsequent retrieval attempts that can lead to actual recollection..e.g. you see someone that seems familiar, but can&amp;#x27;t place…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.09250/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IR</category></item></channel></rss>
