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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BooookScore: A systematic exploration of book-length summarization in the era of LLMs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.00785/</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/2310.00785/feed.xml" rel="self" type="application/rss+xml" /><item><title>BooookScore: A systematic exploration of book-length summarization in the era of LLMs — mentioned by simonw</title><link>https://news.ycombinator.com/item?id=39986034</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.00785:39986034</guid><pubDate>Wed, 10 Apr 2024 01:21:40 GMT</pubDate><description>&lt;p&gt;As far as I can tell, this study was almost entirely about fiction: https://github.com/mungg/FABLES/blob/main/booklist.md lists 26 books, only one of which is classified as non-fiction. I would imagine that summaries of non-fiction books are evaluated quite differently from summaries of fiction. I&amp;#x27;ve been trying to figure out what prompts they used. The https://github.com/mungg/FABLES GitHub repo says this: Summary -- (str) Entire book summarized by one of five models: Mixtral, GPT-3.5-Turbo, GPT-4, GPT-4-Turbo, and Claude-3-Opus, using the hierarchical merging method described in Chang et…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.00785/"&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>BooookScore: A systematic exploration of book-length summarization in the era of LLMs — HN submission</title><link>https://news.ycombinator.com/item?id=37935352</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.00785:37935352</guid><pubDate>Wed, 18 Oct 2023 21:59:50 GMT</pubDate><description>&lt;p&gt;A systematic exploration of book-length summarization in the era of LLMs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.00785/"&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>
