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09/29/2022
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization
Traditional training paradigms for extractive and abstractive summarizat...
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05/29/2022
CoNT: Contrastive Neural Text Generation
Recently, contrastive learning attracts increasing interests in neural t...
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02/20/2022
𝒴-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning
With the success of large-scale pre-trained models (PTMs), how efficient...
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02/18/2022
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER
Chinese NER is a difficult undertaking due to the ambiguity of Chinese c...
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09/16/2021
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization
Existing summarization systems mostly generate summaries purely relying ...
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04/07/2021