Search Results for author: Daniel McFarland

Found 1 papers, 1 papers with code

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

1 code implementation3 Oct 2023 Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Smith, Yian Yin, Daniel McFarland, James Zou

We first quantitatively compared GPT-4's generated feedback with human peer reviewer feedback in 15 Nature family journals (3, 096 papers in total) and the ICLR machine learning conference (1, 709 papers).

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