ESL-Bench supplies 100 synthetic user trajectories and 10,000 queries showing database agents achieve 48-58% accuracy while memory RAG baselines reach only 30-38% on longitudinal health reasoning.
Large language models and synthetic health data: progress and prospects.JAMIA Open, 7(4):ooae114
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ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents
ESL-Bench supplies 100 synthetic user trajectories and 10,000 queries showing database agents achieve 48-58% accuracy while memory RAG baselines reach only 30-38% on longitudinal health reasoning.