MedEvoEval is an executable longitudinal evaluation framework that converts medical cases into action-gated simulated episodes to track how doctor agents evolve decision-making, resource use, and experience across multiple encounters.
Sensitivity-lora: Low-load sensitivity-based fine-tuning for large language models.arXiv preprint arXiv:2509.09119, 2025
4 Pith papers cite this work. Polarity classification is still indexing.
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MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes
MedEvoEval is an executable longitudinal evaluation framework that converts medical cases into action-gated simulated episodes to track how doctor agents evolve decision-making, resource use, and experience across multiple encounters.