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Thomas Icard
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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
25792021
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
5672022
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
2332022
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
2042015
Normality and actual causal strength
TF Icard, JF Kominsky, J Knobe
Cognition 161, 80-93, 2017
1462017
Causal abstractions of neural networks
A Geiger, H Lu, T Icard, C Potts
Advances in Neural Information Processing Systems 34, 9574-9586, 2021
932021
Moorean phenomena in epistemic logic
WH Holliday, TF Icard III
Advances in Modal Logic 8, 178-199, 2010
882010
Recent Progress on Monotonicity
T Icard, L Moss
LiLT (Linguistic Issues in Language Technology) 9, 2014
802014
Joint revision of belief and intention
T Icard, E Pacuit, Y Shoham
Proc. of the 12th International Conference on Principles of Knowledge …, 2010
632010
Measure semantics and qualitative semantics for epistemic modals
W Holliday, T Icard
SALT, 2013
602013
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
562023
Expectations affect physical causation judgments.
T Gerstenberg, T Icard
Journal of Experimental Psychology: General 149 (3), 599, 2020
562020
Causal judgments approximate the effectiveness of future interventions
A Morris, JS Phillips, T Icard, J Knobe, T Gerstenberg, F Cushman
OSF, 2018
53*2018
Subjective probability as sampling propensity
T Icard
Review of Philosophy and Psychology 7, 863-903, 2016
482016
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
472022
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
452015
Toward Boundedly Rational Analysis
T Icard
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
442014
On the instrumental value of hypothetical and counterfactual thought.
T Icard, F Cushman, J Knobe
402018
Inclusion and exclusion in natural language
TF Icard
Studia Logica 100, 705-725, 2012
402012
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
372024
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