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:

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Süzgün, Nathan Scales, Nathanael Schärli, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Using cognitive psychology to understand GPT-3
Marcel Binz, Eric Schulz
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 6
Open Access | Times Cited: 234

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
Travis Zack, Eric Lehman, Mirac Süzgün, et al.
The Lancet Digital Health (2023) Vol. 6, Iss. 1, pp. e12-e22
Open Access | Times Cited: 197

A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 187

Towards Reasoning in Large Language Models: A Survey
Jie Huang, Kevin Chen–Chuan Chang
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 182

Can large language models reason about medical questions?
Valentin Liévin, Christoffer Hother, Andreas Geert Motzfeldt, et al.
Patterns (2024) Vol. 5, Iss. 3, pp. 100943-100943
Open Access | Times Cited: 115

Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Neel Guha, Julian Nyarko, Daniel E. Ho, et al.
SSRN Electronic Journal (2023)
Open Access | Times Cited: 50

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 49

mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Qinghao Ye, Haiyang Xu, Jiabo Ye, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 13040-13051
Closed Access | Times Cited: 25

State of What Art? A Call for Multi-Prompt LLM Evaluation
Moran Mizrahi, Guy Kaplan, Dan Malkin, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 933-949
Open Access | Times Cited: 22

Datasets for Large Language Models: A Comprehensive Survey
Yang Liu, Jiahuan Cao, Chongyu Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 21

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies
Liangming Pan, Michael Saxon, Wenda Xu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 484-506
Open Access | Times Cited: 18

On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
Omar Shaikh, Hongxin Zhang, William A. Held, et al.
(2023)
Open Access | Times Cited: 39

Language Model Behavior: A Comprehensive Survey
Tyler A. Chang, Benjamin Bergen
Computational Linguistics (2023) Vol. 50, Iss. 1, pp. 293-350
Open Access | Times Cited: 39

Few-shot In-context Learning on Knowledge Base Question Answering
Tianle Li, Xueguang Ma, Alex Zhuang, et al.
(2023)
Open Access | Times Cited: 27

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 25

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.
(2023), pp. 6547-6568
Open Access | Times Cited: 24

VILA: On Pre-training for Visual Language Models
Lin Ji, Hongxu Yin, Ping Wei, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 26679-26689
Closed Access | Times Cited: 14

The Language of Creativity: Evidence from Humans and Large Language Models
William Orwig, Emma R. Edenbaum, Joshua D. Greene, et al.
The Journal of Creative Behavior (2024) Vol. 58, Iss. 1, pp. 128-136
Open Access | Times Cited: 11

Large Language Model Evaluation Criteria Framework in Healthcare: Fuzzy MCDM Approach
Hamzeh Alabool
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access | Times Cited: 1

Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare
Travis Zack, Eric Lehman, Mirac Süzgün, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 22

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

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