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Calibrated User Embeddings targets a gap in AI-agent tests with simulated users
The post introducing CUE says simulators can resemble real users without reproducing real evaluation outcomes.
TLDR
The author introduces Calibrated User Embeddings (CUE) to address a gap in how LLM-based user simulators are used to evaluate AI agents across multiple turns. They say a simulator can look like a real user without reproducing real evaluation outcomes.
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