Inferring priors in compositional cognitive models. - Eric J. Bigelow; Steven T. Piantadosi (CogSci, 2016)

People's evaluation of programs that drive agents' behavior. - Eric J. Bigelow; Tomer D. Ullman (CogSci, 2022)

Mechanistic Mode Connectivity. - Ekdeep Singh Lubana; Eric J. Bigelow; Robert P. Dick; David Scott Krueger; Hidenori Tanaka (ICML, 2023)

In-Context Learning Dynamics with Random Binary Sequences. - Eric J. Bigelow; Ekdeep Singh Lubana; Robert P. Dick; Hidenori Tanaka; Tomer D. Ullman (ICLR, 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; et al. (CoRR, 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; et al. (Trans. Mach. Learn. Res., 2024)

Forking Paths in Neural Text Generation. - Eric J. Bigelow; Ari Holtzman; Hidenori Tanaka; Tomer David Ullman (ICLR, 2025)

Emergence of Hierarchical Emotion Organization in Large Language Models. - Bo Zhao 028; Maya Okawa; Eric J. Bigelow; Rose Yu; Tomer D. Ullman; Ekdeep Singh Lubana; Hidenori Tanaka (CoRR, 2025)