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.
- S u b c a t e g o r i e s : Writing , Coding , Prompt Generation , Other
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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.