Abstract

Common-sense reasoning has recently emerged as an important test for artificial general intelligence, especially given the much-publicized successes of language representation models such as T5, BERT and GPT-3. Currently, typical benchmarks involve question answering tasks, but to test the full complexity of common-sense reasoning, more comprehensive evaluation methods that are grounded in theory should be developed.

Date

January 1, 1970

Authors

Mayank Kejriwal, Henrique Santos, Alice M Mulvehill, Deborah L McGuinness

Journal

Nature Machine Intelligence

Volume

4

Issue

4

Pages

318-322

Publisher

Nature Publishing Group UK