| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 3918 | 2021 |
| Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022 | 988 | 2022 |
| On Pearl’s Hierarchy and the Foundations of Causal Inference E Bareinboim, J Correa, D Ibeling, T Icard Probabilistic and Causal Inference: The Works of Judea Pearl, 507-556, 2022 | 292 | 2022 |
| Neural-symbolic learning and reasoning: contributions and challenges AA Garcez, TR Besold, L De Raedt, P Földiak, P Hitzler, T Icard, ... 2015 AAAI Spring Symposium Series, 2015 | 215 | 2015 |
| Causal abstractions of neural networks A Geiger, H Lu, T Icard, C Potts Advances in Neural Information Processing Systems 34, 9574-9586, 2021 | 164 | 2021 |
| Normality and actual causal strength TF Icard, JF Kominsky, J Knobe Cognition 161, 80-93, 2017 | 160 | 2017 |
| On the opportunities and risks of foundation models. arXiv 2021 R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2023 | 91 | 2023 |
| Moorean phenomena in epistemic logic WH Holliday, TF Icard III Advances in Modal Logic 8, 178-199, 2010 | 90 | 2010 |
| Recent Progress on Monotonicity T Icard, L Moss LiLT (Linguistic Issues in Language Technology) 9, 2014 | 84 | 2014 |
| Inducing causal structure for interpretable neural networks A Geiger, Z Wu, H Lu, J Rozner, E Kreiss, T Icard, N Goodman, C Potts International Conference on Machine Learning, 7324-7338, 2022 | 73 | 2022 |
| Interpretability at scale: Identifying causal mechanisms in alpaca Z Wu, A Geiger, T Icard, C Potts, N Goodman Advances in Neural Information Processing Systems 36, 2024 | 68 | 2024 |
| Joint revision of belief and intention T Icard, E Pacuit, Y Shoham Proc. of the 12th International Conference on Principles of Knowledge …, 2010 | 67 | 2010 |
| Finding alignments between interpretable causal variables and distributed neural representations A Geiger, Z Wu, C Potts, T Icard, N Goodman Causal Learning and Reasoning, 160-187, 2024 | 63 | 2024 |
| Expectations affect physical causation judgments. T Gerstenberg, T Icard Journal of Experimental Psychology: General 149 (3), 599, 2020 | 62 | 2020 |
| Measure semantics and qualitative semantics for epistemic modals W Holliday, T Icard SALT, 2013 | 62 | 2013 |
| Causal judgments approximate the effectiveness of future interventions A Morris, JS Phillips, T Icard, J Knobe, T Gerstenberg, F Cushman OSF, 2018 | 57* | 2018 |
| Subjective probability as sampling propensity T Icard Review of Philosophy and Psychology 7, 863-903, 2016 | 55 | 2016 |
| On the opportunities and risks of foundation models (2021) R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2022 | 54 | 2022 |
| Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability A Geiger, D Ibeling, A Zur, M Chaudhary, S Chauhan, J Huang, A Arora, ... arXiv:2301.04709, 2024 | 51* | 2024 |
| A Resource-Rational Approach to the Causal Frame Problem TF Icard III, ND Goodman Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2015 | 49 | 2015 |
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