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Artificial intelligence based predictive models trained on the clinical notes can be demographically biased. This could lead to adverse healthcare disparities in predicting outcomes like length of stay of the patients. Thus, it is necessary to mitiga
Externí odkaz:
http://arxiv.org/abs/2411.10544
Large language models (LLMs) have demonstrated their remarkable performance across various language understanding tasks. While emerging benchmarks have been proposed to evaluate LLMs in various domains such as mathematics and computer science, they m
Externí odkaz:
http://arxiv.org/abs/2410.17558
Autor:
Zheng, Tianshi, Bai, Jiaxin, Wang, Yicheng, Fang, Tianqing, Guo, Yue, Yim, Yauwai, Song, Yangqiu
While large language models (LLMs) have demonstrated impressive capabilities across various natural language processing tasks by acquiring rich factual knowledge from their broad training data, their ability to synthesize and logically reason with th
Externí odkaz:
http://arxiv.org/abs/2407.20564
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