Thanks
The Paper Assistant Tool project marks a significant advancement in the realm of theoretical computer science, driven by the collaborative efforts of a dedicated team of researchers and contributors. This article extends gratitude to the individuals who played pivotal roles in its development and implementation.
Project Leadership and Key Contributions
The project was co-led by Vincent Cohen-Addad, Rajesh Jayaram, Jon Schneider, and David Woodruff. Their leadership and vision were instrumental in steering the project towards success. Significant contributions also came from Lalit Jain, Jieming Mao, and Vahab Mirrokni, who provided invaluable insights and technical expertise.
Support from the Community
The support from the broader academic community was crucial. Special thanks are extended to the PC STOC 2026 Chair, Artur Czumaj, for his guidance and encouragement. Additionally, the project benefited greatly from the participation and feedback of numerous authors. Their comments and suggestions were vital in refining the tool. Among these contributors were distinguished researchers such as Mohammad Taghi Hajiaghayi, Ravi Kumar, Yossi Matias, and Sergei Vassilvitskii.
Building on the Deep Think Team’s Efforts
The foundation of this work lies in the efforts of the Deep Think team, a group of dedicated professionals whose collective expertise and innovation provided a solid basis for the project. This team includes Garrett Bingham, Irene Cai, Heng-Tze Cheng, Yong Cheng, Kristen Chiafullo, and many others whose contributions were indispensable.
The project also acknowledges the work of Paul Covington, Golnaz Ghiasi, Chenjie Gu, Huan Gui, Ana Hosseini, Dawsen Hwang, and numerous others who have been instrumental in various aspects of the tool’s development. Their hard work and dedication are deeply appreciated.
Conclusion
The Paper Assistant Tool project exemplifies the power of collaboration and innovation. It stands as a testament to the collective efforts of a diverse and talented group of individuals committed to advancing theoretical computer science. For more information on the project and its outcomes, please visit the original source Here.
“`
