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LIMIT-BERT : Linguistics Informed Multi-Task BERT
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0
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844
|
October 18, 2021
|
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Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
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0
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1009
|
October 18, 2021
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What Context Features Can Transformer Language Models Use?
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0
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911
|
September 22, 2021
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有个疑问，为什么ltp，hanlp都用electra，而不是其他预训练模型？
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2
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2033
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September 11, 2021
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KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
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0
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1173
|
September 3, 2021
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Are Pretrained Convolutions Better than Pretrained Transformers?
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0
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831
|
August 18, 2021
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ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for...
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0
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1499
|
August 7, 2021
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Multi-view Subword Regularization
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0
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817
|
July 19, 2021
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Enabling Language Models to Fill in the Blanks
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0
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728
|
June 30, 2021
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Stolen Probability: A Structural Weakness of Neural Language Models
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0
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915
|
May 27, 2021
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text...
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0
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1135
|
May 14, 2021
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Spelling Error Correction with Soft-Masked BERT
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0
|
1630
|
May 9, 2021
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Structured Pruning of Large Language Models
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0
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983
|
February 25, 2021
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Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine...
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0
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816
|
February 23, 2021
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A Mixture of h - 1 Heads is Better than h Heads
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0
|
767
|
February 20, 2021
|
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FastBERT: a Self-distilling BERT with Adaptive Inference Time
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0
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1719
|
February 19, 2021
|
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How does BERT’s attention change when you fine-tune? An analysis methodology...
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0
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1105
|
February 19, 2021
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What Does BERT Learn about the Structure of Language?
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0
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1714
|
January 25, 2021
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请问如何在已有模型的基础上训练自己的模型
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2
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1689
|
December 11, 2020
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BPE-Dropout: Simple and Effective Subword Regularization
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0
|
2152
|
October 17, 2020
|
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SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language...
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0
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1566
|
September 21, 2020
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复现了ACL 2020的FastBert，欢迎试用和反馈
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1
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1162
|
August 17, 2020
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