Stochasticity in Agentic Evaluations: Quantifying Inconsistency with Intraclass Correlation

This article, sourced from ArXiv, likely presents a research paper. The title suggests an investigation into the variability and inconsistency of evaluations performed by agentic systems (e.g., AI agents). The use of 'stochasticity' implies randomness or unpredictability in the evaluations. The core of the research probably involves quantifying this inconsistency using the Intraclass Correlation Coefficient (ICC), a statistical measure of agreement between different raters or measurements. The focus is on understanding and potentially mitigating the variability in agentic system performance.

• •The research focuses on the inconsistency of evaluations performed by agentic systems.
• •The study likely uses Intraclass Correlation (ICC) to quantify this inconsistency.
• •The goal is to understand and potentially improve the reliability of agentic evaluations.