# LLMs Corrupt Your Documents When You Delegate **URL:** \ **Category:** AI In The News\ **Tags:** via-news-bot, llms, in-the-news\ **Created:** [13 May 2026 04:19 UTC](https://forum.devtalk.com/t/llms-corrupt-your-documents-when-you-delegate/244670 "2026-05-13T04:19:43Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![CommunityNews](https://forum.devtalk.com/user_avatar/forum.devtalk.com/communitynews/32/1113_2.png) [@CommunityNews](https://forum.devtalk.com/u/CommunityNews)\ **Post date:** [13 May 2026 04:19 UTC](https://forum.devtalk.com/t/llms-corrupt-your-documents-when-you-delegate/244670/1 "2026-05-13T04:19:44Z")
> Large Language Models (LLMs) are poised to disrupt knowledge work, with the emergence of delegated work as a new interaction paradigm (e.g., vibe coding). Delegation requires trust - the expectation that the LLM will faithfully execute the task without introducing errors into documents. We introduce DELEGATE-52 to study the readiness of AI systems in delegated workflows. DELEGATE-52 simulates long delegated workflows that require in-depth document editing across 52 professional domains, such as coding, crystallography, and music notation. Our large-scale experiment with 19 LLMs reveals that current models degrade documents during delegation: even frontier models (Gemini 3.1 Pro, Claude 4.6 Opus, GPT 5.4) corrupt an average of 25% of document content by the end of long workflows, with other models failing more severely. Additional experiments reveal that agentic tool use does not improve performance on DELEGATE-52, and that degradation severity is exacerbated by document size, length of interaction, or presence of distractor files. Our analysis shows that current LLMs are unreliable delegates: they introduce sparse but severe errors that silently corrupt documents, compounding over long interaction. Read in full here: > **[LLMs Corrupt Your Documents When You Delegate](https://arxiv.org/abs/2604.15597)** > > Large Language Models (LLMs) are poised to disrupt knowledge work, with the emergence of delegated work as a new interaction paradigm (e.g., vibe coding). Delegation requires trust - the expectation that the LLM will faithfully execute the task...