Jacob Goldman-Wetzler

According to our database, Jacob Goldman-Wetzler authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond Data Filtering: Knowledge Localization for Capability Removal in LLMs.

Igor Shilov, Alex Cloud, Aryo Pradipta Gema, Jacob Goldman-Wetzler, Nina Panickssery, Henry Sleight, Erik Jones, Cem Anil

CoRR, December, 2025

Unsupervised Elicitation of Language Models.

Jiaxin Wen, Zachary Ankner, Arushi Somani, Peter Hase, Samuel Marks, Jacob Goldman-Wetzler, Linda Petrini, Henry Sleight, Collin Burns, He He, Shi Feng, Ethan Perez, Jan Leike

CoRR, June, 2025

Inverse Scaling in Test-Time Compute.

Aryo Pradipta Gema, Alexander Hägele, Runjin Chen, Andy Arditi, Jacob Goldman-Wetzler, Kit Fraser-Taliente, Henry Sleight, Linda Petrini, Julian Michael, Beatrice Alex, Pasquale Minervini, Yanda Chen, Joe Benton, Ethan Perez

Trans. Mach. Learn. Res., 2025

Distillation Robustifies Unlearning.

Bruce W. Lee, Addie Foote, Alex Infanger, Leni Shor, Harish Kamath, Jacob Goldman-Wetzler, Bryce Woodworth, Alex Cloud, Alexander Matt Turner

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Gradient Routing: Masking Gradients to Localize Computation in Neural Networks.

Alex Cloud, Jacob Goldman-Wetzler, Evzen Wybitul, Joseph Miller, Alexander Matt Turner

CoRR, 2024

Speeding up and reducing memory usage for scientific machine learning via mixed precision.

Joel Hayford, Jacob Goldman-Wetzler, Eric Wang, Lu Lu

CoRR, 2024