<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[&quot;Our analysis shows that current LLMs are unreliable delegates: they introduce sparse but severe errors that silently corrupt documents.&quot;]]></title><description><![CDATA[<p>"Our analysis shows that current LLMs are unreliable delegates: they introduce sparse but severe errors that silently corrupt documents."</p><p>"Our large-scale experiment with 19 LLMs reveals that current models degrade documents during delegation: even frontier models (Gemini, Claude, GPT) corrupt an average of 25% of document content by the end of long workflows, with other models failing more severely."</p><p><div class="card col-md-9 col-lg-6 position-relative link-preview p-0">



<a href="https://arxiv.org/abs/2604.15597" title="LLMs Corrupt Your Documents When You Delegate">
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<h5 class="card-title">
<a href="https://arxiv.org/abs/2604.15597">
LLMs Corrupt Your Documents When You Delegate
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<p class="card-text line-clamp-3">Abstract page for arXiv paper 2604.15597: LLMs Corrupt Your Documents When You Delegate</p>
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<a href="https://arxiv.org/abs/2604.15597" class="card-footer text-body-secondary small d-flex gap-2 align-items-center lh-2">



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<p class="d-inline-block text-truncate mb-0">arXiv.org <span class="text-secondary">(arxiv.org)</span></p>
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</div></p><p><a href="https://mstdn.social/tags/ai" rel="tag">#<span>ai</span></a> <a href="https://mstdn.social/tags/llm" rel="tag">#<span>llm</span></a> <a href="https://mstdn.social/tags/tech" rel="tag">#<span>tech</span></a> <a href="https://mstdn.social/tags/science" rel="tag">#<span>science</span></a> <a href="https://mstdn.social/tags/gpt" rel="tag">#<span>gpt</span></a> <a href="https://mstdn.social/tags/claude" rel="tag">#<span>claude</span></a> <a href="https://mstdn.social/tags/gemini" rel="tag">#<span>gemini</span></a></p>]]></description><link>https://board.circlewithadot.net/topic/55b3d37c-47ae-42f4-86fb-194af70d8318/our-analysis-shows-that-current-llms-are-unreliable-delegates-they-introduce-sparse-but-severe-errors-that-silently-corrupt-documents.</link><generator>RSS for Node</generator><lastBuildDate>Fri, 15 May 2026 02:16:07 GMT</lastBuildDate><atom:link href="https://board.circlewithadot.net/topic/55b3d37c-47ae-42f4-86fb-194af70d8318.rss" rel="self" type="application/rss+xml"/><pubDate>Mon, 27 Apr 2026 15:17:50 GMT</pubDate><ttl>60</ttl></channel></rss>