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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>On Limitations of the Transformer Architecture · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.08164/</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/2402.08164/feed.xml" rel="self" type="application/rss+xml" /><item><title>On Limitations of the Transformer Architecture — mentioned by namaria</title><link>https://news.ycombinator.com/item?id=43914331</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.08164:43914331</guid><pubDate>Wed, 07 May 2025 11:26:08 GMT</pubDate><description>&lt;p&gt;On Limitations of the Transformer Architecture https://arxiv.org/abs/2402.08164 Theoretical limitations of multi-layer Transformer https://arxiv.org/abs/2412.02975&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.08164/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>On Limitations of the Transformer Architecture — mentioned by namaria</title><link>https://news.ycombinator.com/item?id=43756065</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.08164:43756065</guid><pubDate>Mon, 21 Apr 2025 20:23:37 GMT</pubDate><description>&lt;p&gt;Theoretical limitations of multi-layer Transformer https://arxiv.org/abs/2412.02975 On Limitations of the Transformer Architecture https://arxiv.org/abs/2402.08164 Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory https://arxiv.org/abs/2405.16674 TL;DR transformers are inherently limited with tasks requiring composition of sequential steps&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.08164/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>On Limitations of the Transformer Architecture — mentioned by JohnKemeny</title><link>https://news.ycombinator.com/item?id=40406384</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.08164:40406384</guid><pubDate>Sun, 19 May 2024 12:08:31 GMT</pubDate><description>&lt;p&gt;On Limitations of the Transformer Architecture https://arxiv.org/abs/2402.08164&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.08164/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>On Limitations of the Transformer Architecture — mentioned by JohnKemeny</title><link>https://news.ycombinator.com/item?id=39967090</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.08164:39967090</guid><pubDate>Mon, 08 Apr 2024 07:23:00 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s a paper by Papadimitriou (from Logicomix fame) and some collaborators that the transformer model is incapable of solving certain simple problems, and if done by Cost, it needs exponentially many steps. The paper is currently only available at Arxiv (ie not yet peer-reviewed), but given that it is Papadimitriou, I would be inclined to believe the results. https://arxiv.org/abs/2402.08164&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.08164/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
