DITTO uses RL with verbal feedback to train LLMs for human behavior simulation, reporting 36% average gains over base models and outperforming GPT-5.4 on 6 of 10 SOUL benchmark tasks.
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Realsim shows simulated users fail to reproduce communication frictions present in real multi-turn chatbot dialogues, yielding overly optimistic evaluations with domain-dependent variability.
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Synthetic Users, Real Differences: an Evaluation Framework for User Simulation in Multi-Turn Conversations
Realsim shows simulated users fail to reproduce communication frictions present in real multi-turn chatbot dialogues, yielding overly optimistic evaluations with domain-dependent variability.