Daniel Wurgaft

According to our database, Daniel Wurgaft authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention.

Jing Huang, Daniel Wurgaft, Rachit Bansal, Laura Ruis, Naomi Saphra, David Alvarez-Melis, Andrew Kyle Lampinen, Christopher Potts, Ekdeep Singh Lubana

CoRR, May, 2026

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space.

Eric J. Bigelow, Raphaël Sarfati, Daniel Wurgaft, Owen Lewis, Thomas McGrath, Jack Merullo, Atticus Geiger, Ekdeep Singh Lubana

CoRR, May, 2026

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior.

Daniel Wurgaft, Can Rager, Matthew Kowal, Vasudev Shyam, Sheridan Feucht, Usha Bhalla, Tal Haklay, Eric J. Bigelow, Raphaël Sarfati, Thomas McGrath, Owen Lewis, Jack Merullo, Noah D. Goodman, Thomas Fel, Atticus Geiger, Ekdeep Singh Lubana

CoRR, May, 2026

Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts.

Sheridan Feucht, Tal Haklay, Usha Bhalla, Daniel Wurgaft, Can Rager, Raphaël Sarfati, Jack Merullo, Thomas McGrath, Owen Lewis, Ekdeep Singh Lubana, Thomas Fel, Atticus Geiger

CoRR, May, 2026

Do Sparse Autoencoders Capture Concept Manifolds?

Usha Bhalla, Thomas Fel, Can Rager, Sheridan Feucht, Tal Haklay, Daniel Wurgaft, Siddharth Boppana, Matthew Kowal, Vasudev Shyam, Jack Merullo, Atticus Geiger, Ekdeep Singh Lubana

CoRR, April, 2026

The Shape of Beliefs: Geometry, Dynamics, and Interventions along Representation Manifolds of Language Models' Posteriors.

Raphaël Sarfati, Eric J. Bigelow, Daniel Wurgaft, Jack Merullo, Atticus Geiger, Owen Lewis, Tom McGrath, Ekdeep Singh Lubana

CoRR, February, 2026

2025

Priors in Time: Missing Inductive Biases for Language Model Interpretability.

Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Greta Tuckute, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Daniel Wurgaft, Eric J. Bigelow, Johnny Lin, Demba E. Ba, Martin Wattenberg, Fernanda B. Viégas, Melanie Weber, Aaron Mueller

CoRR, November, 2025

Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering.

Eric J. Bigelow, Daniel Wurgaft, YingQiao Wang, Noah D. Goodman, Tomer D. Ullman, Hidenori Tanaka, Ekdeep Singh Lubana

CoRR, November, 2025

Diagnosing Bottlenecks in Data Visualization Understanding by Vision-Language Models.

Alexa R. Tartaglini, Satchel Grant, Daniel Wurgaft, Christopher Potts, Judith E. Fan

CoRR, October, 2025

In-Context Learning Strategies Emerge Rationally.

Daniel Wurgaft, Ekdeep Singh Lubana, Core Francisco Park, Hidenori Tanaka, Gautam Reddy, Noah D. Goodman

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

Scaling up the think-aloud method.

Daniel Wurgaft, Ben Prystawski, Kanishk Gandhi, Cedegao E. Zhang, Joshua B. Tenenbaum, Noah D. Goodman

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2023

Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

Trans. Mach. Learn. Res., 2023