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    Home»Artificial Intelligence»Gemini provides automated feedback for theoretical computer scientists at STOC 2026
    Artificial Intelligence

    Gemini provides automated feedback for theoretical computer scientists at STOC 2026

    big tee tech hubBy big tee tech hubDecember 31, 2025021 Min Read
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    Gemini provides automated feedback for theoretical computer scientists at STOC 2026
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    Acknowledgements

    Vincent Cohen-Addad, Rajesh Jayaram, Jon Schneider, and David Woodruff co-led this project[8746db], with key contributions by Lalit Jain, Jieming Mao, and Vahab Mirrokni. We also thank the STOC 2026 PC chair Artur Czumaj and the many other authors who participated in this experiment and provided their valuable feedback, helpful suggestions, and discussions, including Mohammad Taghi Hajiaghayi, Ravi Kumar, Yossi Matias, and Sergei Vassilvitskii. Finally, this work builds on the efforts of the Deep Think team: Garrett Bingham, Irene Cai, Heng-Tze Cheng, Yong Cheng, Kristen Chiafullo, Vincent Cohen-Addad, Paul Covington, Golnaz Ghiasi, Chenjie Gu, Huan Gui, Ana Hosseini, Dawsen Hwang, Lalit Jain, Vihan Jain, Ragha Kotikalapudi, Chenkai Kuang, Chenkai Kuang, Maciej Kula, Nate Kushman, Jane Labanowski, Quoc Le, Jonathan Lee, Zhaoqi Leng, Steve Li, YaGuang Li, Hanzhao (Maggie) Lin, Evan Liu, Yuan Liu, Thang Luong, Jieming Mao, Vahab Mirrokni, Pol Moreno, Nigamaa Nayakanti, Aroonalok Pyne, Shubha Raghvendra, Sashank Reddi, Nikunj Saunshi, Siamak Shakeri, Archit Sharma, Xinying Song, Qijun Tan, Yi Tay, Trieu Trinh, Theophane Weber, Winnie Xu, Zicheng Xu, Shunyu Yao, Lijun Yu, Hao Zhou, Honglei Zhuang, and Song Zuo.



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