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Yu Yin

As seen in: Nature, Wiley Online Library, Frontiers, MDPI, SAGE Publishing, Taylor & Francis Online, ACS Publications, BMC Cancer, China Daily (English), Science Magazine and
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Articles

A field-measured dataset of plant and soil characteristics spanning six grassland types in the Zoige, northeastern Tibetan Plateau, China

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By Zhening Zhu, Yu Yin, Wenliang Zhang, Wei Tang, Zizhi Wang, Dexiong Xie, Wengui Wu, Shengxi Liao
| Nature Verified
Abstract Grasslands, which cover nearly one-quarter of the Earth’s terrestrial surface, perform vital functions in carbon sequestration, biodiversity maintenance, and ecosystem stability. Zoige, situated on the northeastern Tibetan Plateau, hosts one of the world’s largest alpine peatland grassland complexes; however, quantitative field-based ecological datasets remain limited, constraining biomass evaluation, productivity estimation, and large-scale carbon assessment.
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Memorization in large language models in medicine prevalence characteristics and implications

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By Anran Li, Mengmeng Du, Yu Yin, Yan Hu, Zihao Sun, Yihang Fu, Hyunjae R. Kim, Xuguang Ai, Qianqian Xie, RUI ZHU, Jimin Huang, Yifan Yang, Siru Liu, Yih-Chung Tham, Lucila Ohno-Machado, Hyunghoon Cho, Zhiyong Lu, Hua Xu, Qingyu Chen, Lingfei Qian, Erica Stutz
| Nature Verified
Abstract Large Language Models (LLMs) have demonstrated significant potential in medicine, with many studies adapting them through continued pretraining or fine-tuning on medical data. However, a key question remains: to what extent do LLMs memorize medical training data—that is, recall or regenerate content seen during continued pretraining or fine-tuning.
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A doubly robust estimator for unanchored indirect treatment comparisons: Development and evaluation using simulated and case-study data

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By Yunhong Wu, Yu Yin, Yun Ling
| Taylor & Francis Online
Motivated by the growing use of unanchored indirect treatment comparisons (ITCs) in the absence of head-to-head trials, this paper evaluates and compares methods for estimating treatment effects across two data sources for continuous and binary outcomes.
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