I'm happy to announce that our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers" has been accepted to #EMNLP2021!
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We improve the systematic generalization of Transformers on SCAN (0 -> 100% with length cutoff=26), CFQ (66 -> 81% on output length split), PCFG (50 -> 85% on productivity split, 72 -> 96% on systematicity split), COGS (35 -> 81%), and Mathematics dataset.
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