<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.12147/</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/2402.12147/feed.xml" rel="self" type="application/rss+xml" /><item><title>Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models — mentioned by vinni2</title><link>https://news.ycombinator.com/item?id=39954102</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.12147:39954102</guid><pubDate>Sat, 06 Apr 2024 17:52:34 GMT</pubDate><description>&lt;p&gt;So using LLMs to fact-check LLMs with Google results? There are non-LLM fact-checkers out there [1] which aggregate search results from more diverse sources and which are shown to outperform LLMs [2]. [1] https://editor.factiverse.ai [2] https://arxiv.org/abs/2402.12147&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.12147/"&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>Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models — mentioned by vinni2</title><link>https://news.ycombinator.com/item?id=39953196</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.12147:39953196</guid><pubDate>Sat, 06 Apr 2024 15:45:59 GMT</pubDate><description>&lt;p&gt;Ok but bigger issue is there is evidence that the LLMs are not better than specialized models for fact-checking. https://arxiv.org/abs/2402.12147&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.12147/"&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>
