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task ID: textinfilling

Related Papers

TIGS: An Inference Algorithm for Text Infilling with Gradient Search

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractText infilling aims at filling in the missing part of a sentence or paragraph, which has been applied to a variety of real-world natural language generation scenarios. Given a well-trained …...

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Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models

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Publication: TIPSTER (2021)

DOI: nan

AbstractPublicly available, large pretrained Language Models (LMs) generate text with remarkable quality, but only sequentially from left to right. As a result, they are not immediately applicable to generation tasks …...

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A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractText infilling aims to restore incomplete texts by filling in blanks, which has attracted more attention recently because of its wide application in ancient text restoration and text rewriting. However, …...

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Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractPre-trained masked language models successfully perform few-shot learning by formulating downstream tasks as text infilling. How- ever, as a strong alternative in full-shot settings, discriminative pre-trained models like ELECTRA do …...

29913