Kailas Vodrahalli

Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis

Weixin Liang, Yuhui Zhang, Hancheng Cao et al. · NEJM AI · 2024 · 137 citations

Natural Language Processing, Applied Linguistics, Large-scale Empirical Analysis +11

Serverless linear algebra

Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli et al. · 2020 · 91 citations · Full text

Cluster Computing, Engineering, Computer Architecture +18

Do Humans Trust Advice More if it Comes from AI?

Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg et al. · 2022 · 52 citations

Artificial Intelligence, Social Influence, Ai Advice +22

Are All Training Examples Created Equal? An Empirical Study

Kailas Vodrahalli, Ke Li, Jitendra Malik · arXiv (Cornell University) · 2018 · 45 citations · Full text

Training System, Convolutional Neural Network, Multiple Instance Learning +19

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

Weixin Liang, Yuhui Zhang, Hancheng Cao et al. · arXiv (Cornell University) · 2023 · 42 citations · Full text

Engineering, Large Language Model, Research Papers +21