A clustering and divergence method reveals a large distributional gap between real and LLM-simulated user behaviors on coding and writing tasks, partially closed by combining complementary simulators.
- Top - down : High - level goal stated upfront , then p r o g r e s s i v e l y refined or e l a b o r a t e d
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Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors
A clustering and divergence method reveals a large distributional gap between real and LLM-simulated user behaviors on coding and writing tasks, partially closed by combining complementary simulators.