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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin, Shafiq Joty
arXiv (Cornell University) (2021)
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Is GPT-3 a Good Data Annotator?
Bosheng Ding, Chengwei Qin, Linlin Liu, et al.
(2023)
Open Access | Times Cited: 77
A survey on few-shot class-incremental learning
Songsong Tian, Lusi Li, Weijun Li, et al.
Neural Networks (2023) Vol. 169, pp. 307-324
Open Access | Times Cited: 58
Deep Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 57
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
Chengwei Qin, Shafiq Joty
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 28
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke, Haowei Lin, Yijia Shao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 17
Orthogonal Subspace Learning for Language Model Continual Learning
Xinghuan Wang, Tianze Chen, Qiming Ge, et al.
(2023), pp. 10658-10671
Open Access | Times Cited: 10
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
Tu Vu, Aditya Barua, Brian Lester, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 9279-9300
Open Access | Times Cited: 15
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering
Zi Qian, Xin Wang, Xuguang Duan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 2941-2950
Closed Access | Times Cited: 8
Transforming Sequence Tagging Into A Seq2Seq Task
Karthik Raman, Iftekhar Naim, Jiecao Chen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 9
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin, Shafiq Joty, Qian Li, et al.
(2023), pp. 11802-11832
Open Access | Times Cited: 5
Prompts Can Play Lottery Tickets Well: Achieving Lifelong Information Extraction via Lottery Prompt Tuning
Zujie Liang, Wei Feng, Yin Jie, et al.
(2023), pp. 277-292
Open Access | Times Cited: 4
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 11153-11169
Open Access | Times Cited: 7
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
Jisoo Mok, Jaeyoung Do, Sung‐Jin Lee, et al.
(2023), pp. 12573-12589
Open Access | Times Cited: 3
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 6776-6791
Open Access | Times Cited: 5
Class-Incremental Learning based on Label Generation
Yijia Shao, Yiduo Guo, Dongyan Zhao, et al.
(2023), pp. 1263-1276
Open Access | Times Cited: 2
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
Min‐Qian Liu, Lifu Huang
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 2241-2257
Open Access | Times Cited: 2
Domain Incremental Lifelong Learning in an Open World
Yi Dai, Hao Lang, Yinhe Zheng, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 5844-5865
Open Access | Times Cited: 2
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
Zixuan Ke, Bing Liu, Wenhan Xiong, et al.
(2023), pp. 15090-15107
Open Access | Times Cited: 2
Semi-Supervised Lifelong Language Learning
Yingxiu Zhao, Yinhe Zheng, Bowen Yu, et al.
(2022), pp. 3937-3951
Open Access | Times Cited: 3

Jaekeol Choi
International Journal on Natural Language Computing (2024) Vol. 13, Iss. 1
Open Access
Influence of Prompt Terms on Relevance Evaluation with GPTs
Jaekeol Choi
(2024), pp. 33-48
Open Access
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
Jaekeol Choi
International Journal on Natural Language Computing (2024) Vol. 13, Iss. 2, pp. 01-19
Open Access

Jaekeol Choi
International Journal on Natural Language Computing (2024) Vol. 13, Iss. 2
Open Access
Mapping Generative Artificial Intelligence (GAI's) Exciting Future: From Gemini to Q* and Beyond
Zarif Bin Akhtar
EAI Endorsed Transactions on AI and Robotics (2024) Vol. 3
Open Access
Distillation of encoder-decoder transformers for sequence labelling
Marco Farina, Duccio Pappadopulo, Anant Gupta, et al.
(2023), pp. 2539-2549
Open Access | Times Cited: 1
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