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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>System 2 Attention (is something you might need too) · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2311.11829/</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/2311.11829/feed.xml" rel="self" type="application/rss+xml" /><item><title>System 2 Attention (is something you might need too) — mentioned by activatedgeek</title><link>https://news.ycombinator.com/item?id=42921027</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.11829:42921027</guid><pubDate>Mon, 03 Feb 2025 18:09:15 GMT</pubDate><description>&lt;p&gt;That has been my understanding too. More generally, a verifier at the end certainly helps. In our paper [1], we find that asking a follow up question like &amp;quot;Is the answer correct?&amp;quot; and taking the normalized probability of &amp;quot;Yes&amp;quot; or &amp;quot;No&amp;quot; token (or more generally any such token trained for) seems to be best bet so far to get well-calibrated probabilities out of the model. In general, the log-probability of tokens is not a good indicator of anything other than satisfying the pre-training loss function of predicting the &amp;quot;next token.&amp;quot; (it likely is very well-calibrated on that task though) Semantics…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.11829/"&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>System 2 Attention (is something you might need too) — mentioned by astrange</title><link>https://news.ycombinator.com/item?id=39796126</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.11829:39796126</guid><pubDate>Sat, 23 Mar 2024 00:05:48 GMT</pubDate><description>&lt;p&gt;Facebook had a paper about &amp;quot;system 2&amp;quot; LLM attention, where they identified which parts of the input would be distracting for the LLM and just deleted them. https://arxiv.org/abs/2311.11829&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.11829/"&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>System 2 Attention (is something you might need too) — mentioned by armcat</title><link>https://news.ycombinator.com/item?id=39642733</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.11829:39642733</guid><pubDate>Fri, 08 Mar 2024 16:33:51 GMT</pubDate><description>&lt;p&gt;RAG approaches should work quite well for the examples you mentioned. It&amp;#x27;s a matter of how you approach the retrieval part - you can opt for a larger recall on retrieval, and leverage the large context window for the LLM to figure out the answer. Even if it&amp;#x27;s not &amp;quot;as-is&amp;quot;, semantically if it&amp;#x27;s in there, it should be able to find it. Other things to try out is how you approach the question &amp;quot;expansion&amp;quot; part, for example using Hypothetical Document Embeddings (HyDE); or how you approach the filtering-out part, e.g. using &amp;quot;System 2 Attention&amp;quot;, https://arxiv.org/abs/2311.11829.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.11829/"&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>System 2 Attention (is something you might need too) — HN submission</title><link>https://news.ycombinator.com/item?id=38419804</link><guid isPermaLink="false">urn:hackerpapers:submission:2311.11829:38419804</guid><pubDate>Sun, 26 Nov 2023 07:12:57 GMT</pubDate><description>&lt;p&gt;System 2 Attention (is something you might need too)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2311.11829/"&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>System 2 Attention (is something you might need too) — HN submission</title><link>https://news.ycombinator.com/item?id=38382169</link><guid isPermaLink="false">urn:hackerpapers:submission:2311.11829:38382169</guid><pubDate>Wed, 22 Nov 2023 17:29:05 GMT</pubDate><description>&lt;p&gt;System 2 Attention (is something you might need too)&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/2311.11829/"&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>System 2 Attention (is something you might need too) — HN submission</title><link>https://news.ycombinator.com/item?id=38363813</link><guid isPermaLink="false">urn:hackerpapers:submission:2311.11829:38363813</guid><pubDate>Tue, 21 Nov 2023 14:11:06 GMT</pubDate><description>&lt;p&gt;System 2 Attention (is something you might need too)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2311.11829/"&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>
