HumanLLM builds a cognitive-pattern benchmark from 12,000 papers and 11,359 scenarios, achieving r=0.90 human alignment and demonstrating that an 8B model trained on pattern interactions beats a 32B baseline on multi-pattern dynamics.
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu
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A survey that introduces a taxonomy for LLM-based conversational user simulation, analyzes core techniques and evaluation methods, and identifies open challenges in the field.
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A Survey on LLM-based Conversational User Simulation
A survey that introduces a taxonomy for LLM-based conversational user simulation, analyzes core techniques and evaluation methods, and identifies open challenges in the field.