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NLP models have progressed drastically in recent years, according to numerous datasets proposed to evaluate performance.
The child’s learning of english morphology
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CrossFit: A few-shot learning challenge for cross-task generalization in NLP
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PaLM: Scaling language modeling with pathways
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Compositional generalization in multilingual semantic parsing over Wikidata
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CogTaskonomy: Cognitively inspired task taxonomy is beneficial to transfer learning in NLP
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Exploring the role of task transferability in large-scale multi-task learning
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Structural generalization is hard for sequence-to-sequence models
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