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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.00045/</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/2406.00045/feed.xml" rel="self" type="application/rss+xml" /><item><title>Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization — mentioned by kamranjon</title><link>https://news.ycombinator.com/item?id=48892597</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.00045:48892597</guid><pubDate>Mon, 13 Jul 2026 13:45:36 GMT</pubDate><description>&lt;p&gt;Some of the most exciting engineering work is happening in the DS4 repo - and I&amp;#x27;m watching it almost like a sports game. When the DSpark paper came out[1] the next day we had folks attempting to implement, working together, validating their failures. Eventually their work being synthesized into a PR[1] that admits performance is not ideal. Something antirez alluded to in one of his videos (speculative decoding is a great boon, but mostly for large labs hosting and serving many requests at once, and maybe not so effective for local inference). There&amp;#x27;s recent work into &amp;quot;directional steering&amp;quot;[3]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.00045/"&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>
