Gradient Descent: The Ultimate Optimizer. - Kartik Chandra; Erik Meijer 001; Samantha Andow; Emilio Arroyo-Fang; Irene Dea; Johann George; Melissa Grueter; Basil Hosmer; Steffi Stumpos; Alanna Tempest; Shannon Yang (CoRR, 2019)

Coarsening Optimization for Differentiable Programming. - Xipeng Shen; Guoqiang Zhang; Irene Dea; Samantha Andow; Emilio Arroyo-Fang; Neal Gafter; Johann George; Melissa Grueter; Erik Meijer 001; Steffi Stumpos; Alanna Tempest; Christy Warden; et al. (CoRR, 2021)

Coarsening optimization for differentiable programming. - Xipeng Shen; Guoqiang Zhang; Irene Dea; Samantha Andow; Emilio Arroyo-Fang; Neal Gafter; Johann George; Melissa Grueter; Erik Meijer 001; Olin Grigsby Shivers; Steffi Stumpos; Alanna Tempest; et al. (Proc. ACM Program. Lang., 2021)

Measuring Faithfulness in Chain-of-Thought Reasoning. - Tamera Lanham; Anna Chen; Ansh Radhakrishnan; Benoit Steiner; Carson Denison; Danny Hernandez; Dustin Li; Esin Durmus; Evan Hubinger; Jackson Kernion; Kamile Lukosiute; Karina Nguyen; et al. (CoRR, 2023)

Specific versus General Principles for Constitutional AI. - Sandipan Kundu; Yuntao Bai; Saurav Kadavath; Amanda Askell; Andrew Callahan; Anna Chen; Anna Goldie; Avital Balwit; Azalia Mirhoseini; Brayden McLean; Catherine Olsson; Cassie Evraets; et al. (CoRR, 2023)