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Hanyun Yin on Muck Rack

Hanyun Yin

As seen in: Nature, arXiv
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Articles

A machine-assisted framework for systematic error analysis in clinical concept extraction

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By Sunyang Fu, Qiuhao Lu, Jaerong Ahn, Fang Chen, Hanyun Yin, Taylor Harrison Verified, Jiang Jun, Xiaoyang Ruan, Ming Jie Huang, Andrew Wen, Liwei Wang, Min Ji Kwak, Nahid Rianon, Yanshan Wang, Ruihong Huang, Hongfang Liu, Julia Wen, Zhiyi Yue
| Nature Verified
Abstract Error analysis is critical for evaluating and improving clinical natural language processing (NLP) models, yet no standardized framework exists to support systematic error analysis for clinical concept extraction. Here we present MedError, a machine-assisted, human-in-the-loop framework integrating a validated error taxonomy, large language model (LLM)-assisted classification, and a structured annotation workflow.
Open in Who Shared Issue with article?

[2309.13192] Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

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By Heng Huang, Wei Gao, Hanyun Yin
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (532) Issue with article?
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