A multi-objective prompt optimization framework for LLM user simulators in conversational recommender systems improves behavioral alignment with human patterns over baselines.
Theory and toolkits for user simulation in the era of generative AI: user modeling, synthetic data generation, and system evaluation,
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Prompt Optimization for User Simulation in Conversational Recommender Systems: A Multi-Objective Framework
A multi-objective prompt optimization framework for LLM user simulators in conversational recommender systems improves behavioral alignment with human patterns over baselines.