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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.15431/</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/2505.15431/feed.xml" rel="self" type="application/rss+xml" /><item><title>Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought — mentioned by gglon</title><link>https://news.ycombinator.com/item?id=44858076</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.15431:44858076</guid><pubDate>Sun, 10 Aug 2025 20:34:16 GMT</pubDate><description>&lt;p&gt;&amp;gt; At the time of writing, the highest-ranking non-purely-transformer-based model on the LM Arena is Jamba, which is a transformer–state space model hybrid, at rank 96.) Tencent&amp;#x27;s hunyuan-turbos, another hybrid, is currently ranked at 22. https://arxiv.org/abs/2505.15431&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.15431/"&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>
