SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data
Researchers present SenWorld, a digital-twin simulation generating context-rich evaluation data with known correct answers. The method is evaluated with 16 personas in Beijing, producing data that closely matches real-user benchmarks. SenWorld exposes 78 failures in a production smartphone assistant, confirming errors without involving large language models.
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