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- W3210438755 abstract "In this paper, we explore the ability of sequence to sequence models to perform cross-domain reasoning. Towards this, we present a prompt-template-filling approach to enable sequence to sequence models to perform cross-domain reasoning. We also present a case-study with commonsense and health and well-being domains, where we study how prompt-template-filling enables pretrained sequence to sequence models across domains. Our experiments across several pretrained encoder-decoder models show that cross-domain reasoning is challenging for current models. We also show an in-depth error analysis and avenues for future research for reasoning across domains" @default.
- W3210438755 created "2021-11-08" @default.
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- W3210438755 date "2021-10-31" @default.
- W3210438755 modified "2023-09-24" @default.
- W3210438755 title "Cross-Domain Reasoning via Template Filling." @default.
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- W3210438755 hasPublicationYear "2021" @default.
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