| Foundational challenges in assuring alignment and safety of large language models U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ... arXiv preprint arXiv:2404.09932, 2024 | 120 | 2024 |
| Mechanistic mode connectivity ES Lubana, EJ Bigelow, RP Dick, D Krueger, H Tanaka International Conference on Machine Learning, 22965-23004, 2023 | 48 | 2023 |
| Tales of two cities: Using social media to understand idiosyncratic lifestyles in distinctive metropolitan areas T Hu, E Bigelow, J Luo, H Kautz IEEE Transactions on Big Data 3 (1), 55-66, 2016 | 39 | 2016 |
| Non-commitment in mental imagery EJ Bigelow, JP McCoy, TD Ullman Cognition 238, 105498, 2023 | 11 | 2023 |
| On the need for imagistic modeling in story understanding E Bigelow, D Scarafoni, L Schubert, A Wilson Biologically Inspired Cognitive Architectures 11, 22-28, 2015 | 10 | 2015 |
| In-Context Learning Dynamics with Random Binary Sequences EJ Bigelow, ES Lubana, RP Dick, H Tanaka, TD Ullman International Conference on Learning Representations (ICLR), 2023 | 3 | 2023 |
| A large dataset of generalization patterns in the number game E Bigelow, S Piantadosi Journal of Open Psychology Data 4 (1), 2016 | 2 | 2016 |
| Forking Paths in Neural Text Generation E Bigelow, A Holtzman, H Tanaka, T Ullman International Conference on Learning Representations (ICLR), 2024 | 1 | 2024 |
| Mechanistic Lens on Mode Connectivity ES Lubana, EJ Bigelow, R Dick, D Krueger, H Tanaka NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 1 | 2022 |
| Inferring priors in compositional cognitive models. E Bigelow, ST Piantadosi CogSci, 2016 | 1 | 2016 |
| Subjective Randomness and In-Context Learning EJ Bigelow, ES Lubana, RP Dick, H Tanaka, T Ullman UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | | 2023 |
| Mechanistic Mode Connectivity E Singh Lubana, EJ Bigelow, RP Dick, D Krueger, H Tanaka arXiv e-prints, arXiv: 2211.08422, 2022 | | 2022 |
| People’s evaluation of programs that drive agents' behavior E Bigelow, TD Ullman Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | | 2022 |
| Emergence of Hierarchical Emotion Representations in Large Language Models B Zhao, M Okawa, EJ Bigelow, R Yu, T Ullman, H Tanaka NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning, 0 | | |
| Can One Token Make All the Difference? Forking Paths in Autoregressive Text Generation EJ Bigelow, A Holtzman, H Tanaka, T Ullman The 7th BlackboxNLP Workshop, 0 | | |
Hidenori TanakaGroup Leader, CBS-NTT Physics of Intelligence Program, Harvard UniversityBestätigte E-Mail-Adresse bei fas.harvard.edu