Диагностикалық Тапсырмалар

task ID: diagnostictasks

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AbstractOpen-domain question answering (QA) involves many knowledge and reasoning challenges, but are successful QA models actually learning such knowledge when trained on benchmark QA tasks? We investigate this via several …...

26927

CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations

Authors: nan

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AbstractWell-designed diagnostic tasks have played a key role in studying the failure of neural nets (NNs) to generalize systematically. Famous examples include SCAN and Compositional Table Lookup (CTL). Here we …...

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Improving Compositional Generalization with Latent Structure and Data Augmentation

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Publication: TIPSTER (2022)

DOI: nan

AbstractGeneric unstructured neural networks have been shown to struggle on out-of-distribution compositional generalization. Compositional data augmentation via example recombination has transferred some prior knowledge about compositionality to such black-box neural …...

21092