<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-Rewarding Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2401.10020/</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/2401.10020/feed.xml" rel="self" type="application/rss+xml" /><item><title>Self-Rewarding Language Models — mentioned by chunhualiao</title><link>https://news.ycombinator.com/item?id=39084033</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.10020:39084033</guid><pubDate>Sun, 21 Jan 2024 23:10:35 GMT</pubDate><description>&lt;p&gt;Quickly scanned https://arxiv.org/abs/2401.10020 . Quite interesting work. The paper&amp;#x27;s idea is to have a single language model doing both question answering (responding to prompts) and self-evaluating its own answers. Iterative DPO training is used to improve the model&amp;#x27;s dual capabilities. The authors tried different LLM-as-a-judge promptings to generate a reward score for each answer. A very particular additive 5-point rewarding prompting is found to be the most effective one. The two-step inferencing pipeline (answering questions+evaluating answers) also generates an extra dataset in the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.10020/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Self-Rewarding Language Models — mentioned by gfodor</title><link>https://news.ycombinator.com/item?id=39075549</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.10020:39075549</guid><pubDate>Sun, 21 Jan 2024 04:25:34 GMT</pubDate><description>&lt;p&gt;Probably not going to pan out well https://arxiv.org/html/2401.10020v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.10020/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Self-Rewarding Language Models — mentioned by djoldman</title><link>https://news.ycombinator.com/item?id=39073840</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.10020:39073840</guid><pubDate>Sat, 20 Jan 2024 23:53:23 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2401.10020&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.10020/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Self-Rewarding Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=39061399</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.10020:39061399</guid><pubDate>Fri, 19 Jan 2024 21:24:58 GMT</pubDate><description>&lt;p&gt;Self-Rewarding Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.10020/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Self-Rewarding Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=39051279</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.10020:39051279</guid><pubDate>Fri, 19 Jan 2024 03:33:43 GMT</pubDate><description>&lt;p&gt;Self-Rewarding Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;95 points; 60 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.10020/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
