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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2512.07461/</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/2512.07461/feed.xml" rel="self" type="application/rss+xml" /><item><title>Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=46228978</link><guid isPermaLink="false">urn:hackerpapers:submission:2512.07461:46228978</guid><pubDate>Thu, 11 Dec 2025 08:33:55 GMT</pubDate><description>&lt;p&gt;Native Parallel Reasoner: Self-Evolving to Learn Parallel Reasoning&lt;/p&gt;&lt;p&gt;Hey there! We propose a parallel reasoner, aiming at mitigating the hallucination and enhance fairness in reasoning. Welcome to vote it on Hugging Face ! [Twitter Post] https://x.com/ZilongZheng/status/1998252267783516444 [Project Page &amp;amp; Demo] https://bigai-nlco.github.io/Native-Parallel-Reasoner [GitHub Repo] https://github.com/bigai-nlco/Native-Parallel-Reasoner [HF Paper] https://huggingface.co/papers/2512.07461 [arXiv Preprint] https://arxiv.org/abs/2512.07461 Highlight: This model is a native parallel reasoning system PoC that differs from other popular Multi-Agent approaches with…&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2512.07461/"&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>
