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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:

Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen, Yutai Hou, Yiming Cui, et al.
(2020)
Open Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

(2020)
Open Access | Times Cited: 780
A survey of human-in-the-loop for machine learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun, et al.
Future Generation Computer Systems (2022) Vol. 135, pp. 364-381
Open Access | Times Cited: 387
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
Runxin Xu, Fuli Luo, Zhiyuan Zhang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 102
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
Ruidan He, Linlin Liu, Hai Ye, et al.
(2021)
Open Access | Times Cited: 95
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
Tiezheng Yu, Zihan Liu, Pascale Fung
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 63
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun, Zhengliang Shi, Shen Gao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13618-13626
Open Access | Times Cited: 29
Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis
Kelvin Du, Frank Xing, Erik Cambria
ACM Transactions on Management Information Systems (2023) Vol. 14, Iss. 3, pp. 1-24
Open Access | Times Cited: 26
Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis
Juhua Liu, Qihuang Zhong, Liang Ding, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2023) Vol. 31, pp. 2629-2642
Open Access | Times Cited: 23
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim, Segyeong Joo, Doyoung Kim, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 22
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1464-1483
Open Access | Times Cited: 14
Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda
Johannes Schneider
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 13
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Qihuang Zhong, Liang Ding, Juhua Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 9, pp. 4835-4848
Open Access | Times Cited: 8
Knowledge Editing for Large Language Models: A Survey
Song Wang, Yaochen Zhu, Haochen Liu, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-37
Open Access | Times Cited: 8
Large scale paired antibody language models
Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012646-e1012646
Open Access | Times Cited: 8
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng, Shengjie Qiu, Chengming Shi, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 1
Perturbation Augmentation for Fairer NLP
Rebecca Qian, Candace Ross, Jude Fernandes, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 35
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Joel Jang, Seonghyeon Ye, Chang-Ho Lee, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 32
Joint Unsupervised and Supervised Training for Multilingual ASR
Junwen Bai, Bo Li, Yu Zhang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 6402-6406
Open Access | Times Cited: 30
Breaking the barriers of data scarcity in drug–target affinity prediction
Qizhi Pei, Lijun Wu, Jinhua Zhu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 16
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi, Liangwei Chen, Mengjie Zhao, et al.
(2020)
Open Access | Times Cited: 46
Towards Continual Knowledge Learning of Language Models
Joel Jang, Seonghyeon Ye, Sohee Yang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 36
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
Chuhan Wu, Fangzhao Wu, Tao Qi, et al.
(2022), pp. 680-685
Open Access | Times Cited: 27
Improving Sequential Recommendations with LLMs
Artun Boz, Wouter Zorgdrager, Zoe Kotti, et al.
ACM Transactions on Recommender Systems (2025)
Open Access
KALA: Knowledge-Augmented Language Model Adaptation
Minki Kang, Jinheon Baek, Sung Ju Hwang
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 21
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