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:

A Primer in BERTology: What We Know About How BERT Works
Anna Rogers, Olga Kovaleva, Anna Rumshisky
Transactions of the Association for Computational Linguistics (2020) Vol. 8, pp. 842-866
Open Access | Times Cited: 1222

Showing 1-25 of 1222 citing articles:

On the Dangers of Stochastic Parrots
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, et al.
(2021), pp. 610-623
Open Access | Times Cited: 2965

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1553

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
Tianyu Wu, Shizhu He, Jingping Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 5, pp. 1122-1136
Closed Access | Times Cited: 738

Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-40
Open Access | Times Cited: 586

LEGAL-BERT: The Muppets straight out of Law School
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al.
(2020)
Open Access | Times Cited: 528

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Guanghui Qin, Jason Eisner
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 287

Design Guidelines for Prompt Engineering Text-to-Image Generative Models
Vivian Liu, Lydia B. Chilton
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 284

FinBERT: A Large Language Model for Extracting Information from Financial Text*
Allen Huang, Hui Wang, Yi Yang
Contemporary Accounting Research (2022) Vol. 40, Iss. 2, pp. 806-841
Open Access | Times Cited: 245

BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig, Ali Madani, Lav R. Varshney, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 237

ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi
(2021)
Open Access | Times Cited: 235

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers
Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.
(2020)
Open Access | Times Cited: 233

Survey on evaluation methods for dialogue systems
Jan Deriu, Álvaro Rodrigo, Arantxa Otegi, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 1, pp. 755-810
Open Access | Times Cited: 228

Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zexuan Zhong, Dan Friedman, Danqi Chen
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 207

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, et al.
IEEE Transactions on Affective Computing (2020) Vol. 14, Iss. 1, pp. 108-132
Open Access | Times Cited: 191

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 191

Syntactic Structure from Deep Learning
Tal Linzen, Marco Baroni
Annual Review of Linguistics (2020) Vol. 7, Iss. 1, pp. 195-212
Open Access | Times Cited: 178

Probing Pretrained Language Models for Lexical Semantics
Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al.
(2020)
Open Access | Times Cited: 173

Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 2, pp. 1-38
Open Access | Times Cited: 173

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 161

Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar, Nora Kassner, Shauli Ravfogel, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 1012-1031
Open Access | Times Cited: 138

Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
Computational Linguistics (2021) Vol. 48, Iss. 1, pp. 207-219
Open Access | Times Cited: 137

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
Nusrat Jahan Prottasha, Abdullah As Sami, Md. Kowsher, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4157-4157
Open Access | Times Cited: 130

Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Yanai Elazar, Shauli Ravfogel, Alon Jacovi, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 160-175
Open Access | Times Cited: 126

Post-hoc Interpretability for Neural NLP: A Survey
Andreas Nygaard Madsen, Siva Reddy, Sarath Chandar
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-42
Open Access | Times Cited: 125

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