[23] Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374, 2021.
[24] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. Attention is all you need. In I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, editors, Advances in Neural Information Processing Systems, volume 30. Curran Associates, Inc., 2017.
[25] Geoffrey E Hinton, Peter Dayan, Brendan J Frey, and Radford M Neal. The "wake-sleep" algorithm for unsupervised neural networks. Science, 268(5214):1158-1161, 1995.
[26] Elizabeth S Spelke and Katherine D Kinzler. Core knowledge. Developmental science, 10(1):89-96, 2007.
[27] Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, and Samuel J Gershman. Building machines that learn and think like people. Behavioral and brain sciences, 40:e253, 2017.
[28] Thomas L Griffiths, Edward Vul, and Adam N Sanborn. Bridging levels of analysis for probabilistic models of cognition. Current Directions in Psychological Science, 21(4):263-268, 2012.
[29] David Marr. Vision: A computational investigation into the human representation and processing of visual information. MIT press, 2010.
[30] Thomas L. Griffiths, Falk Lieder, and Noah D. Goodman. Rational use of cognitive resources: Levels of analysis between the computational and the algorithmic. Topics in Cognitive Science, 7(2):217-229, 2015.
[31] Jacob Andreas, Dan Klein, and Sergey Levine. Learning with latent language. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 2166-2179, 2018.
[32] Pratyusha Sharma, Antonio Torralba, and Jacob Andreas. Skill induction and planning with latent language. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1713-1726, 2022.
[33] David Hume. An enquiry concerning human understanding. 1748.
[34] Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, and Yejin Choi. Abductive commonsense reasoning. arXiv preprint arXiv:1908.05739, 2019.
[35] Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. COMET: Commonsense transformers for automatic knowledge graph construction. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4762-4779, Florence, Italy, July 2019. Association for Computational Linguistics.
[36] Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, and Yejin Choi. Maieutic prompting: Logically consistent reasoning with recursive explanations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1266-1279, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics.
[37] Eric Mitchell, Joseph Noh, Siyan Li, Will Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, and Christopher Manning. Enhancing self-consistency and performance of pre-trained language models through natural language inference. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1754-1768, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics.
[38] Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer-Verlag New York, Inc., 2006.
[39] Daniel Kahneman. Thinking, fast and slow. macmillan, 2011.
[40] Herbert A Simon. A behavioral model of rational choice. The quarterly journal of economics, pages 99-118, 1955.
[41] Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig. Pal: Program-aided language models. In International Conference on Machine Learning, pages 10764–10799. PMLR, 2023.