Antagonistic consensus for LLM agents: theory, simulation, and empirical anchoring under correlated errors.
-
Updated
May 20, 2026 - Python
#
correlated-errors
Here are 2 public repositories matching this topic...
A diverse 6-LLM judge committee (4 labs, 3 countries) has correlated errors: ~1.9 effective independent judges of 6 (mean pairwise error-correlation ρ≈0.42) on RAGTruth. Provider diversity does not buy error-independence. Verdicts + one-command recompute included.
consensus ai-safety model-ensemble llm llm-evaluation hallucination-detection llm-as-judge correlated-errors ragtruth
-
Updated
Aug 10, 2026 - Python
Improve this page
Add a description, image, and links to the correlated-errors topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the correlated-errors topic, visit your repo's landing page and select "manage topics."