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Article

Contamination Percolation in Multi-Agent LLM Systems: A Measurement Framework and Benchmark

2026-03-31

Abstract excerpt

Multi-agent large language model (LLM) systems are being deployed in healthcare, finance, and legal settings, yet we lack reliable methods for measuring how misinformation spreads through these networks. We introduce ContamPerc, a benchmark of 400 vignettes across 10 domains (8 clinical, 2 non-clinical), 50 domain-specific semantic markers, and a measurement pipeline that separates genuine contamination from defen...

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Literature Corpus work
3ab13d09-f6b2-5fd1-bbc6-9dcdad6c5a4f
DOI
10.22541/au.177499048.88707055/v1
Open publication

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Contamination Percolation in Multi-Agent LLM Systems: A Measurement Framework and BenchmarkDOI 10.22541/au.177499048.88707055/v1
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