Liang, Weixin

GPT detectors are biased against non-native English writers

Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023) · Patterns

Authorship Attribution and ProfilingEthics and Social Impacts of AI

Cited by 673

Disparities in dermatology AI performance on a diverse, curated clinical image set

Daneshjou, R., Vodrahalli, K., Novoa, R. A., Jenkins, M., Liang, W., Rotemberg, V., Ko, J., Swetter, S. M., Bailey, E. E., Gevaert, O., et al. (2022) · Science Advances

Cutaneous Melanoma Detection and ManagementArtificial Intelligence in Healthcare and Education

Cited by 544

Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Liang, W., Zhang, Y., Cao, H., Wang, B., Ding, D., Yang, X., Vodrahalli, K., He, S., Smith, D., Yin, Y., et al. (2023) · arXiv

Academic Writing and PublishingTopic Modeling

Cited by 243

Characterizing the clinical adoption of medical AI devices through U.S. insurance claims

Wu, K., Wu, E., Theodorou, B., Liang, W., Mack, C., Glass, L., Sun, J., & Zou, J. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationHealthcare Policy and Management

Cited by 103

Quantifying large language model usage in scientific papers

Liang, W., Zhang, Y., Wu, Z., Lepp, H., Ji, W., Zhao, X., Cao, H., Liu, S., He, S., Huang, Z., et al. (2025) · Nature Human Behaviour

scientometrics and bibliometrics researchAcademic Writing and Publishing

Cited by 80

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Liang, W., Izzo, Z., Zhang, Y., Lepp, H., Cao, H., Zhao, X., Chen, L., Ye, H., Liu, S., Huang, Z., et al. (2024) · arXiv

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 73

Mapping the Increasing Use of LLMs in Scientific Papers

Liang, W., Zhang, Y., Wu, Z., Lepp, H., Ji, W., Zhao, X., Cao, H., Liu, S., He, S., Huang, Z., et al. (2024) · arXiv

scientometrics and bibliometrics researchAcademic Writing and Publishing

Cited by 55

GPT detectors are biased against non-native English writers

Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023) · arXiv

Authorship Attribution and ProfilingEthics and Social Impacts of AI

Cited by 40

The widespread adoption of large language model-assisted writing across society

Liang, W., Zhang, Y., Codreanu, M., Wang, J., Cao, H., & Zou, J. (2025) · Patterns

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 35

MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts

Liang, W., & Zou, J. (2022) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 14