Zhipeng Yin
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Computer Science > Machine Learning
Fairness research on language models involves measuring bias, applying mitigation methods, and examining the evidence on which an evaluation rests. Existing tools offer complementary functionality through different interfaces, so combining them requires reconciling model interfaces, evidence formats, access constraints, and result types before applicability can be checked or methods compared.
Assisting patients with reliable information gathering: A guide to building efficient QA systems for medical use
Citation: Yin Z, Wang Z, Chen M, Stockwell I, Ning X, Liu J, et al. (2026) Assisting patients with reliable information gathering: A guide to building efficient QA systems for medical use. PLOS Digit Health 5(9): e0001634. https://doi.org/10.1371/journal.pdig.0001634 Editor: Jia-Lang Xu, National Taichung University of Science and Technology, TAIWAN Received: December 15, 2025; Accepted: July 20, 2026; Published: September 17, 2026 Copyright: © 2026 Yin et al.
Decoupling Processing-Morphology-Stability Relationships Enables 19.65% Organic Solar Cells With Exceptional Photostability
, , , et al. “Decoupling Processing-Morphology-Stability Relationships Enables 19.65% Organic Solar Cells With Exceptional Photostability.” Small (2026): e74409. https://doi.org/10.1002/smll.74409 Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.
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