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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>FLM-Audio: Natural Monologues Improves Native Full-Duplex Chatbots via Dual Training · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2509.02521/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2509.02521/feed.xml" rel="self" type="application/rss+xml" /><item><title>FLM-Audio: Natural Monologues Improves Native Full-Duplex Chatbots via Dual Training — HN submission</title><link>https://news.ycombinator.com/item?id=45299218</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.02521:45299218</guid><pubDate>Fri, 19 Sep 2025 08:14:44 GMT</pubDate><description>&lt;p&gt;Show HN: FLM- Audio, our 7B spoken dialog chatbot with native full-duplexity&lt;/p&gt;&lt;p&gt;We’re excited to share RoboBrain-Audio（FLM-Audio）, a new 7B spoken dialog chatbot with native full-duplexity. FLM-Audio achieves superior response qualities and chatting experiences while requiring significantly less training data. Key innovations: Natural Monologue Abandons word-level timestamps and innovatively proposes the “Natural Monologue ” mechanism Preserves the inherent advantages of LLMs in generating coherence and instruction-following. effectively addresses the context-dependent pronunciation issues of certain words (especially numbers). Dual Training Paradigm Training spans two…&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.02521/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SD</category></item></channel></rss>
