<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SymbolicAI: A framework for logic-based approaches combining generative models and solvers · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.00854/</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/2402.00854/feed.xml" rel="self" type="application/rss+xml" /><item><title>SymbolicAI: A framework for logic-based approaches combining generative models and solvers — mentioned by Rochus</title><link>https://news.ycombinator.com/item?id=47414318</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.00854:47414318</guid><pubDate>Tue, 17 Mar 2026 15:47:05 GMT</pubDate><description>&lt;p&gt;Full paper: https://arxiv.org/abs/2402.00854 (2024)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.00854/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>SymbolicAI: A framework for logic-based approaches combining generative models and solvers — mentioned by robertkrahn01</title><link>https://news.ycombinator.com/item?id=44400541</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.00854:44400541</guid><pubDate>Fri, 27 Jun 2025 21:47:09 GMT</pubDate><description>&lt;p&gt;Probably linking the paper and examples notebook here makes sense as they are pretty explanatory: https://github.com/ExtensityAI/symbolicai/blob/main/examples... https://arxiv.org/pdf/2402.00854&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.00854/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>SymbolicAI: A framework for logic-based approaches combining generative models and solvers — mentioned by tudorw</title><link>https://news.ycombinator.com/item?id=39504218</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.00854:39504218</guid><pubDate>Sun, 25 Feb 2024 20:01:19 GMT</pubDate><description>&lt;p&gt;Symbolic AI still alive and kicking, https://arxiv.org/abs/2402.00854 also liking the experiments around Graph Neural Networks and hybrids thereof.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.00854/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>SymbolicAI: A framework for logic-based approaches combining generative models and solvers — mentioned by _t89y</title><link>https://news.ycombinator.com/item?id=39448412</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.00854:39448412</guid><pubDate>Tue, 20 Feb 2024 23:36:07 GMT</pubDate><description>&lt;p&gt;Thanks for your comment. Please let me know what&amp;#x27;s not clear. Still no takers on my ML is CV comment below. Research on on-device ASR and computer vision is primarily driven by the same organizations that stand to benefit the most from it. It&amp;#x27;s nearly impossible to talk about machine learning today without talking about computer vision. Just look at the daily papers from Hugging Face or any other outlet. Machine learning is basically synonymous with computer vision and natural language processing is basically synonymous with information retrieval. Research is corporate research. With very few…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.00854/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
