Differentiable graphics with TensorFlow 2.0. - Paige Bailey; Sofien Bouaziz; Shan Carter; Josh Gordon; Christian Häne; Alexander Mordvintsev; Julien Valentin; Martin Wicke (SIGGRAPH Courses, 2019)

REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. - Richard Liaw; Paige Bailey; Ying Li; Maria Dimakopoulou; Yves Raimond (RecSys, 2022)

Natural Language to Code Generation in Interactive Data Science Notebooks. - Pengcheng Yin; Wen-Ding Li; Kefan Xiao; Abhishek Rao; Yeming Wen; Kensen Shi; Joshua Howland; Paige Bailey; Michele Catasta; Henryk Michalewski; Oleksandr Polozov; Charles Sutton (ACL (1), 2023)

PaLM 2 Technical Report. - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

A2Perf: Real-World Autonomous Agents Benchmark. - Ikechukwu Uchendu; Jason Jabbour; Korneel Van den Berghe; Joel Runevic; Matthew Stewart; Jeffrey Ma; Srivatsan Krishnan; Izzeddin Gur; Austin Huang; Colton Bishop; Paige Bailey; Wenjie Jiang 001; et al. (CoRR, 2025)