Papers/2610.02460
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CUEing User Simulators: Calibrated User Embeddings for Multi-Turn Benchmarking

Not provided in the abstract

user simulationbenchmarkingAI evaluationmulti-turn interaction
2610.02460
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1h ago

Abstract

The paper introduces a framework for user simulators that improves alignment with real user interactions in multi-turn AI evaluations.

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Core Claim

The CUE framework significantly reduces simulator-attributed errors and better reproduces real-user agent failure modes compared to existing persona-based simulation methods.

Method / Result

CUEd simulators show improved metric agreement and generalize effectively across various tasks after being fit to customer support interactions.

Limitations

The paper does not specify the authors, which may limit reproducibility and transparency.

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