hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Inference + Agents + Llm67Agents + Workflow + Automation67Privacy + Training + Agents67
View all trends →

hypedar

AI trend radar for developers. Catch emerging papers, repos, and discussions before the hype peaks.

AboutGitHubDiscord

By the makers of hypedar

Codepawl

Open-source tools for developers.

Explore our tools →
AboutPrivacyTermsX

© 2026 Codepawl

Built by Codepawl·© 2026

About·Terms·Privacy·Security

GitHub·Discord·X

feedtrendsdiscovershowcasearchive
← feed
arXiv1d ago
4.8

LLMs Corrupt Your Documents When You Delegate

Philippe Laban, Tobias Schnabel, Jennifer Neville

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorypaper
Topics
agentsrag

Opportunity Brief

Create a stress-testing framework that evaluates LLM accuracy during long, complex delegated document workflows. This helps businesses measure if their AI agents actually maintain document integrity.

Suggested repo: delegate-bench

"Is your AI agent silently corrupting your company documents?"

Estimated effort: 20h