Author

Prabhath Chellingi

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#machine learning Preprint Oct 2026

From Retrieval to Customer Context: Evaluating Frontier-Model Systems for Voice-of-Customer Analysis

Organizations increasingly use frontier language models to analyze customer feedback, but answer quality also depends on how that feedback is organized and made available. We define a \emph{customer context graph} as a unified model of customer and business context. Typed relationships connect customer objects (feedbac...

G. Raviraja, Viraj Bagal, Prabhath Chellingi · 0 citations

#artificial intelligence Preprint Oct 2026

Same Feedback, Different Answer: Measuring Run-to-Run Instability in Frontier-Model Customer Feedback Analysis

AI agents are increasingly being programmed to automate knowledge work over large collections of unstructured data. Such automation requires repeatability: when the underlying evidence is unchanged, the agent's categories, priorities, and counts should not shift materially between runs, even if each individual answer a...

Viraj Bagal, Raviraja Ganta, Prabhath Chellingi · 0 citations