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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lost in Transmission: When and Why LLMs Fail to Reason Globally · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.08140/</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/2505.08140/feed.xml" rel="self" type="application/rss+xml" /><item><title>Lost in Transmission: When and Why LLMs Fail to Reason Globally — mentioned by ivzak</title><link>https://news.ycombinator.com/item?id=47372191</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.08140:47372191</guid><pubDate>Sat, 14 Mar 2026 01:06:21 GMT</pubDate><description>&lt;p&gt;It seems to be the hit rate of a very straightforward (literal matching) retrieval. Just checked the benchmark description (https://huggingface.co/datasets/openai/mrcr), here it is: &amp;quot;The task is as follows: The model is given a long, multi-turn, synthetically generated conversation between user and model where the user asks for a piece of writing about a topic, e.g. &amp;quot;write a poem about tapirs&amp;quot; or &amp;quot;write a blog post about rocks&amp;quot;. Hidden in this conversation are 2, 4, or 8 identical asks, and the model is ultimately prompted to return the i-th instance of one of those asks. For example, &amp;quot;Return…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.08140/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
