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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.11589/</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/2409.11589/feed.xml" rel="self" type="application/rss+xml" /><item><title>ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering — mentioned by ryukafalz</title><link>https://news.ycombinator.com/item?id=44180938</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.11589:44180938</guid><pubDate>Wed, 04 Jun 2025 14:12:50 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m not convinced that symbolic processing doesn&amp;#x27;t still have a place in AI though. My feeling about language models is that, while they can be eerily good at solving problems, they&amp;#x27;re still not as capable of maintaining logical consistency as a symbolic program would be. Sure, we obviously weren&amp;#x27;t going to get to this point with only symbolic processing, but it doesn&amp;#x27;t have to be either/or. I think combining neural nets with symbolic approaches could lead to some interesting results (and indeed I see some people are trying this, e.g. https://arxiv.org/abs/2409.11589)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.11589/"&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>
