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20232025
most citedA framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments

4 citations · 9 across the 7 of their papers we have counts for

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cs.CL2025

Self-ensemble: Mitigating Confidence Mis-calibration for Large Language Models

Zicheng Xu, Guanchu Wang, Guangyao Zheng +4

Although Large Language Models (LLMs) perform well in general fields, they exhibit a confidence distortion problem on multi-choice question-answering (MCQA), particularly as the nu…