McFarland, Daniel

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

Big Data and the danger of being precisely inaccurate

McFarland, D. A., & McFarland, H. R. (2015) · Big Data & Society

Big Data Technologies and ApplicationsAdvanced Causal Inference Techniques

Cited by 81

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