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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generalization Bias in Large Language Model Summarization of Scientific Research · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2504.00025/</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/2504.00025/feed.xml" rel="self" type="application/rss+xml" /><item><title>Generalization Bias in Large Language Model Summarization of Scientific Research — mentioned by zacmps</title><link>https://news.ycombinator.com/item?id=46209828</link><guid isPermaLink="false">urn:hackerpapers:mention:2504.00025:46209828</guid><pubDate>Tue, 09 Dec 2025 19:59:16 GMT</pubDate><description>&lt;p&gt;LLM summaries of papers often make overly broad claims [1]. I don&amp;#x27;t think this is a good example personally. [1] https://arxiv.org/abs/2504.00025&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2504.00025/"&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>
