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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.

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Showing 1-25 of 124 citing articles:

Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 465
Evaluating Models’ Local Decision Boundaries via Contrast Sets
Matt Gardner, Yoav Artzi, Victoria Basmov, et al.
(2020)
Open Access | Times Cited: 274
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 192
Unsupervised Commonsense Question Answering with Self-Talk
Vered Shwartz, Peter West, Ronan Le Bras, et al.
(2020)
Open Access | Times Cited: 175
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
Anna Rogers, Matt Gardner, Isabelle Augenstein
ACM Computing Surveys (2022) Vol. 55, Iss. 10, pp. 1-45
Open Access | Times Cited: 113
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
Xiao Wang, Guangyao Chen, Guangwu Qian, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 447-482
Open Access | Times Cited: 94
Time-Aware Language Models as Temporal Knowledge Bases
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, et al.
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 257-273
Open Access | Times Cited: 93
MetaICL: Learning to Learn In Context
Sewon Min, Mike Lewis, Luke Zettlemoyer, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 78
Benchmarks for Automated Commonsense Reasoning: A Survey
Ernest Davis
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-41
Open Access | Times Cited: 42
Aligning AI With Shared Human Values
Dan Hendrycks, Collin Burns, Steven Basart, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 97
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 93
Temporal Common Sense Acquisition with Minimal Supervision
Ben Zhou, Ning Qiang, Daniel Khashabi, et al.
(2020), pp. 7579-7589
Open Access | Times Cited: 81
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
Ning Qiang, Hao Wu, Rujun Han, et al.
(2020), pp. 1158-1172
Open Access | Times Cited: 81
INFOTABS: Inference on Tables as Semi-structured Data
Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, et al.
(2020)
Open Access | Times Cited: 76
Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions
Mihir Parmar, Swaroop Mishra, Mor Geva, et al.
(2023), pp. 1779-1789
Open Access | Times Cited: 28
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu, Liang Qiu, Wenhao Yu, et al.
(2023)
Open Access | Times Cited: 26
Commonsense Reasoning for Natural Language Processing
Maarten Sap, Vered Shwartz, Antoine Bosselut, et al.
(2020)
Open Access | Times Cited: 69
Temporal Reasoning on Implicit Events from Distant Supervision
Ben Zhou, Kyle Richardson, Qiang Ning, 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: 42
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks, Qiaozi Gao, Joyce Chai
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 49
Proceedings of the 5th Workshop on Representation Learning for NLP
Lin Chen, Danlu Chen, Yue Chen, et al.
(2020)
Open Access | Times Cited: 41
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner, Yoav Artzi, Victoria Basmova, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 40
DAGN: Discourse-Aware Graph Network for Logical Reasoning
Yinya Huang, Meng Fang, Yu Cao, 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: 40
TIMEDIAL: Temporal Commonsense Reasoning in Dialog
Lianhui Qin, Aditya Gupta, Shyam Upadhyay, et al.
(2021)
Open Access | Times Cited: 35
Housekeep: Tidying Virtual Households Using Commonsense Reasoning
Yash Kant, Arun Ramachandran, Sriram Yenamandra, et al.
Lecture notes in computer science (2022), pp. 355-373
Closed Access | Times Cited: 28
What Language Model to Train if You Have One Million GPU Hours?
Teven Le Scao, Thomas J. Wang, Daniel Hesslow, et al.
(2022)
Open Access | Times Cited: 27
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