PADL: Language-Directed Physics-Based Character Control. - Jordan Juravsky; Yunrong Guo; Sanja Fidler; Xue Bin Peng (SIGGRAPH Asia, 2022)

Relating Regularization and Generalization through the Intrinsic Dimension of Activations. - Bradley C. A. Brown; Jordan Juravsky; Anthony L. Caterini; Gabriel Loaiza-Ganem (CoRR, 2022)

Language Models Inversely Scale on Piecewise Function Evaluation with Biased Examples. - Bradley C. A. Brown; Jordan Juravsky; Atif Mahmud; Wais Shahbaz; Ryan Ehrlich (Tiny Papers @ ICLR, 2023)

SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. - Jordan Juravsky; Yunrong Guo; Sanja Fidler; Xue Bin Peng (SIGGRAPH (Conference Paper Track), 2024)

Hydragen: High-Throughput LLM Inference with Shared Prefixes. - Jordan Juravsky; Bradley C. A. Brown; Ryan Ehrlich; Daniel Y. Fu; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. - Bradley C. A. Brown; Jordan Juravsky; Ryan Ehrlich; Ronald Clark; Quoc V. Le; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

CodeMonkeys: Scaling Test-Time Compute for Software Engineering. - Ryan Ehrlich; Bradley C. A. Brown; Jordan Juravsky; Ronald Clark; Christopher Ré; Azalia Mirhoseini (CoRR, 2025)

How Do Large Language Monkeys Get Their Power (Laws)? - Rylan Schaeffer; Joshua Kazdan; John Hughes; Jordan Juravsky; Sara Price; Aengus Lynch; Erik Jones; Robert Kirk; Azalia Mirhoseini; Sanmi Koyejo (CoRR, 2025)