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Yale School of Medicine
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Preference optimization in PVminerLLM2 leads to a remarkable 4.43% improvement in structured extraction accuracy, tackling token-critical errors that have long hindered patient voice analysis.
Model diversity and ensemble voting are key to improving performance in EHR question answering, but reasoning remains the bottleneck for evidence alignment.
