Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye, Jiahui Gao, Qintong Li, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 11653-11669
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen, Derek Tam, Colin Raffel, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 191-211
Open Access | Times Cited: 91
A comprehensive review of synthetic data generation in smart farming by using variational autoencoder and generative adversarial network
Yaganteeswarudu Akkem, Saroj Kumar Biswas, Aruna Varanasi
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107881-107881
Closed Access | Times Cited: 84
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich, Thomas Scialom, Omer Levy, et al.
(2023)
Open Access | Times Cited: 52
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Zhenyu Li, Sunqi Fan, Yu Gu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 18608-18616
Open Access | Times Cited: 23
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
Yew Ken Chia, Lidong Bing, Soujanya Poria, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022)
Open Access | Times Cited: 63
DetGPT: Detect What You Need via Reasoning
Renjie Pi, Jiahui Gao, Shizhe Diao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14172-14189
Open Access | Times Cited: 28
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 22
In-Context Learning for Few-Shot Dialogue State Tracking
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.
(2022)
Open Access | Times Cited: 36
Synthetic Sample Selection for Generalized Zero-Shot Learning
Shreyank N Gowda
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 58-67
Open Access | Times Cited: 19
Improving Text Classification with Large Language Model-Based Data Augmentation
Huanhuan Zhao, Haihua Chen, Thomas A. Ruggles, et al.
Electronics (2024) Vol. 13, Iss. 13, pp. 2535-2535
Open Access | Times Cited: 7
LLMaAA: Making Large Language Models as Active Annotators
Ruoyu Zhang, Yanzeng Li, Yongliang Ma, et al.
(2023)
Open Access | Times Cited: 13
Conversational Explanations: Discussing Explainable AI with Non-AI Experts
Tong Zhang, Mengxin Zhang, Wei Yan Low, et al.
(2025), pp. 409-424
Closed Access
ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?
Hui Zheng, Zhongliang Guo, H. S. Zhao, et al.
(2025)
Open Access
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
Qinyuan Cheng, Xiaogui Yang, Tianxiang Sun, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 11122-11138
Open Access | Times Cited: 12
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14384-14396
Open Access | Times Cited: 12
Evaluation and Analysis of Large Language Models for Clinical Text Augmentation and Generation
Atif Latif, Jihie Kim
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 4
Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance
Joseph Marvin Imperial, Matthew D. Jones, Harish Tayyar Madabushi
(2025)
Open Access
Large Language Models Are Human-Like Annotators
Mounika Marreddy, Subba Reddy Oota, Manish Gupta
Lecture notes in computer science (2025), pp. 291-299
Closed Access
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search
Lili Lu, Guglielmo Faggioli, Federico Ravenda, et al.
Lecture notes in computer science (2025), pp. 389-404
Closed Access
Agent-in-the-Loop to Distill Expert Knowledge into Artificial Intelligence Models: A Survey
Jiayuan Gao, Yingwei Zhang, Yiqiang Chen, et al.
Research Square (Research Square) (2025)
Closed Access
Complex knowledge base question answering with difficulty-aware active data augmentation
Dong Wang, Sihang Zhou, Cong Zhou, et al.
Expert Systems with Applications (2025), pp. 127460-127460
Closed Access
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye, Jiahui Gao, Zhiyong Wu, et al.
(2022), pp. 3671-3683
Open Access | Times Cited: 16
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction
Jun Gao, Changlong Yu, Wei Wang, et al.
(2022), pp. 4537-4544
Open Access | Times Cited: 16
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 10
Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
(2023), pp. 11817-11831
Open Access | Times Cited: 8
Page 1 - Next Page

Scroll to top