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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2510.01237/</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/2510.01237/feed.xml" rel="self" type="application/rss+xml" /><item><title>Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation — mentioned by homarp</title><link>https://news.ycombinator.com/item?id=50025453</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.01237:50025453</guid><pubDate>Fri, 09 Oct 2026 19:22:33 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2503.23303 and https://arxiv.org/abs/2510.01237&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.01237/"&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>Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation — mentioned by nandakishor_ml</title><link>https://news.ycombinator.com/item?id=49766961</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.01237:49766961</guid><pubDate>Sat, 19 Sep 2026 14:43:44 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s property benchmarked btw. And do read the og paper at https://arxiv.org/abs/2510.01237 And btw pypi package also there which never mentioned https://pypi.org/project/hallunox/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.01237/"&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>Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation — mentioned by nandakishor_ml</title><link>https://news.ycombinator.com/item?id=49766951</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.01237:49766951</guid><pubDate>Sat, 19 Sep 2026 14:41:35 GMT</pubDate><description>&lt;p&gt;All the stuff are proper benchmarked. Feel free to read the paper, https://arxiv.org/abs/2510.01237&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.01237/"&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>Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation — mentioned by nandakishor_ml</title><link>https://news.ycombinator.com/item?id=49766933</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.01237:49766933</guid><pubDate>Sat, 19 Sep 2026 14:39:08 GMT</pubDate><description>&lt;p&gt;The paper is one year old. https://arxiv.org/abs/2510.01237 https://pypi.org/project/hallunox/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.01237/"&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>Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation — mentioned by corysama</title><link>https://news.ycombinator.com/item?id=49756727</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.01237:49756727</guid><pubDate>Fri, 18 Sep 2026 16:28:36 GMT</pubDate><description>&lt;p&gt;You might also be interested in &amp;quot;Open-sourced jev architecture last year with model,paper and dataset&amp;quot; https://news.ycombinator.com/item?id=49736660 https://www.reddit.com/r/LocalLLaMA/comments/1wjieap/made_th... Papers: https://arxiv.org/abs/2503.23303 https://arxiv.org/abs/2510.01237 Model: https://huggingface.co/DeepMostInnovations/sales-conversion-... Dataset: https://huggingface.co/datasets/DeepMostInnovations/saas-sal...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.01237/"&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>Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation — HN submission</title><link>https://news.ycombinator.com/item?id=49736660</link><guid isPermaLink="false">urn:hackerpapers:submission:2510.01237:49736660</guid><pubDate>Thu, 17 Sep 2026 05:13:00 GMT</pubDate><description>&lt;p&gt;Open-sourced jev architecture last year with model,paper and dataset&lt;/p&gt;&lt;p&gt;Everyone now talks about the architecture that&amp;#x27;s not auto regressive and does lightning fast probability prediction with a json schema. I worked on this literally one year back in March 2025, published an arxiv paper, pushed the model to huggingface along with the pypi package and training dataset. And then one year later, a frontier lab came, proposing the same idea like literal breakthrough without technical papers, open weights and no open dataset. For anyones information the main guiding model is RL not embedding model or LLM Paper: https://arxiv.org/abs/2503.23303 Model…&lt;/p&gt;&lt;p&gt;97 points; 18 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2510.01237/"&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>
