Show simple item record

dc.contributor.authorKejriwal, Mayank
dc.contributor.authorSantos, Henrique
dc.contributor.authorMulvehill, Alice
dc.contributor.authorMcGuinness, Deborah
dc.identifier.citationKejriwal, M., Santos, H., Mulvehill, A.M. et al. Designing a strong test for measuring true common-sense reasoning. Nat Mach Intell 4, 318–322 (2022).en_US
dc.description.abstractCommon-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.
dc.publisherNature Machine Intelligenceen_US
dc.subjectCommon-sense reasoningen_US
dc.subjectartificial intelligenceen_US
dc.subject.othercommon-sense reasoning
dc.subject.otherartificial intelligence
dc.titleDesigning a strong test for measuring true common-sense reasoningen_US
dc.rights.holderThis Item is protected by copyright and/or related rights. 

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record