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Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.

Q. Zhong, L. Ding, Y. Zhan, Y. Qiao, Y. Wen, L. Shen, J. Liu, B. Yu, B. Du, Y. Chen, X. Gao, C. Miao, X. Tang, and D. Tao. CoRR, (2022)

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Gang Zhong

Lianmin Zhong

Weimin Zhong

Yanlin Zhong

Yang Zhong

Other publications of authors with the same name

Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation.Q. Zhong, F. Zeng, F. Liao, J. Liu, B. Du, and J. Shang. Neural Comput. Appl., 35 (5): 3665-3676 (February 2023)Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis.Q. Zhong, L. Ding, J. Liu, B. Du, H. Jin, and D. Tao. CoRR, (2022)SemiText: Scene text detection with semi-supervised learning.J. Liu, Q. Zhong, Y. Yuan, H. Su, and B. Du. Neurocomputing, (2020)Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis.Q. Zhong, L. Ding, J. Liu, B. Du, H. Jin, and D. Tao. IEEE Trans. Knowl. Data Eng., 35 (10): 10098-10111 (October 2023)A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis.B. Wang, L. Ding, Q. Zhong, X. Li, and D. Tao. COLING, page 6691-6704. International Committee on Computational Linguistics, (2022)Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT.Q. Zhong, L. Ding, J. Liu, B. Du, and D. Tao. CoRR, (2023)Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis.J. Liu, Q. Zhong, L. Ding, H. Jin, B. Du, and D. Tao. IEEE ACM Trans. Audio Speech Lang. Process., (2023)Revisiting Token Dropping Strategy in Efficient BERT Pretraining.Q. Zhong, L. Ding, J. Liu, X. Liu, M. Zhang, B. Du, and D. Tao. ACL (1), page 10391-10405. Association for Computational Linguistics, (2023)Towards Making the Most of ChatGPT for Machine Translation.K. Peng, L. Ding, Q. Zhong, L. Shen, X. Liu, M. Zhang, Y. Ouyang, and D. Tao. EMNLP (Findings), page 5622-5633. Association for Computational Linguistics, (2023)Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.H. Zheng, Q. Zhong, L. Ding, Z. Tian, X. Niu, D. Li, and D. Tao. CoRR, (2023)

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Disambiguation of "Zhong, Qihuang"

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Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.

Please choose a person to relate this publication to

Gang Zhong

Lianmin Zhong

Weimin Zhong

Yanlin Zhong

Yang Zhong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhong, Qihuang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.

Please choose a person to relate this publication to

Gang Zhong

Lianmin Zhong

Weimin Zhong

Yanlin Zhong

Yang Zhong

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.