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Language models have become an essential part of the burgeoning field of AI Psychology.
The Winograd Schema Challenge
Levesque, H., Davis, E. & Morgenstern, L · 2012
Earlier work this paper cites.
How reasonable are common-sense reasoning tasks: A case-study on the Winograd schema challenge and SWAG
Trichelair, P., Emami, A., Trischler, A., Suleman, K. & Cheung, J. C. K · 2019
Earlier work this paper cites.
Winogrande: An adversarial winograd schema challenge at scale
Sakaguchi, K., Bras, R. L., Bhagavatula, C. & Choi, Y · 2021
Earlier work this paper cites.
Back to square one: Artifact detection, training and commonsense disentanglement in the Winograd schema
Elazar, Y., Zhang, H., Goldberg, Y. & Roth, D · 2021
Earlier work this paper cites.
Lampinen, A. K · 2022
Cited alongside, same era.
Baby steps in evaluating the capacities of large language models
Frank, M. C · 2023
Cited alongside, same era.
How do we know how smart AI systems are? (2023)
Mitchell, M · 2023
Cited alongside, same era.
Which humans?
Atari, M., Xue, M. J., Park, P. S., Blasi, D. & Henrich, J · 2023
Closest in time.
The defeat of the winograd schema challenge
Kocijan, V., Davis, E., Lukasiewicz, T., Marcus, G. & Morgenstern, L · 2023
Closest in time.
Embers of autoregression show how large language models are shaped by the problem they are trained to solve
McCoy, R. T., Yao, S., Friedman, D., Hardy, M. D. & Griffiths, T. L · 2024
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