Eric J. Bigelow

According to our database, Eric J. Bigelow authored at least 12 papers between 2016 and 2025.

Collaborative distances:

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

2025

Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics.

Amir Zur, Atticus Geiger, Ekdeep Singh Lubana, Eric J. Bigelow

CoRR, November, 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 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

Chain of Time: In-Context Physical Simulation with Image Generation Models.

YingQiao Wang, Eric J. Bigelow, Boyi Li, Tomer D. Ullman

CoRR, November, 2025

Emergence of Hierarchical Emotion Organization in Large Language Models.

Bo Zhao, Maya Okawa, Eric J. Bigelow, Rose Yu, Tomer D. Ullman, Ekdeep Singh Lubana, Hidenori Tanaka

CoRR, July, 2025

Forking Paths in Neural Text Generation.

Eric J. Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer David Ullman

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Chenyu Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Aleksandar Petrov, Christian Schröder de Witt, Sumeet Ramesh Motwani, Yoshua Bengio, Danqi Chen, Philip Torr, Samuel Albanie, Tegan Maharaj, Jakob Nicolaus Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger

Trans. Mach. Learn. Res., 2024

Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi C. Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger

CoRR, 2024

In-Context Learning Dynamics with Random Binary Sequences.

Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer D. Ullman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Mechanistic Mode Connectivity.

Ekdeep Singh Lubana, Eric J. Bigelow, Robert P. Dick, David Scott Krueger, Hidenori Tanaka

Proceedings of the International Conference on Machine Learning, 2023

2022

People's evaluation of programs that drive agents' behavior.

Eric J. Bigelow, Tomer D. Ullman

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2016

Inferring priors in compositional cognitive models.

Eric J. Bigelow, Steven T. Piantadosi

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016