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:

Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 208

Showing 1-25 of 208 citing articles:

A Survey on Evaluation of Large Language Models
Yupeng Chang, Xu Wang, Jindong Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-45
Open Access | Times Cited: 731
A Categorical Archive of ChatGPT Failures
Ali Borji
Research Square (Research Square) (2023)
Open Access | Times Cited: 341
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie Lin, Jacob Hilton, Owain Evans
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 195
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: 188
Measuring Coding Challenge Competence With APPS
Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 116
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 3505-3523
Open Access | Times Cited: 111
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Lei Wang, Wanyu Xu, Yihuai Lan, et al.
(2023)
Open Access | Times Cited: 89
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.
(2023)
Open Access | Times Cited: 70
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: 51
Is Education Losing the Race with Technology?

Educational research and innovation (2023)
Closed Access | Times Cited: 48
A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: Applications, open challenges and future research directions
Avyay Casheekar, A. Lahiri, Kanishk Rath, et al.
Computer Science Review (2024) Vol. 52, pp. 100632-100632
Closed Access | Times Cited: 43
Generative AI in Higher Education
Cecilia Ka Yuk Chan, Tom Colloton
(2024)
Open Access | Times Cited: 37
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
Daniel Kang, Xuechen Li, Ion Stoica, et al.
(2024), pp. 132-143
Open Access | Times Cited: 27
A diversity-enhanced knowledge distillation model for practical math word problem solving
Yi Zhang, Guangyou Zhou, Zhiwen Xie, et al.
Information Processing & Management (2025) Vol. 62, Iss. 3, pp. 104059-104059
Open Access | Times Cited: 5
CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
Dan Hendrycks, Collin Burns, Anya Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 89
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani, Jay Pujara, Filip Ilievski, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 644-656
Open Access | Times Cited: 67
How understanding large language models can inform the use of ChatGPT in physics education
Giulia Polverini, Bor Gregorcic
European Journal of Physics (2023) Vol. 45, Iss. 2, pp. 025701-025701
Open Access | Times Cited: 41
Putting AI to the test
OECD
OECD education spotlights (2023)
Open Access | Times Cited: 36
Battle of the Wordsmiths: Comparing ChatGPT, GPT-4, Claude, and Bard
Ali Borji, Mehrdad Mohammadian
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 35
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu, Liang Qiu, Wenhao Yu, et al.
(2023)
Open Access | Times Cited: 26
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
Exploring large language models for human mobility prediction under public events
Yuebing Liang, Yichao Liu, Xiaohan Wang, et al.
Computers Environment and Urban Systems (2024) Vol. 112, pp. 102153-102153
Open Access | Times Cited: 16
Large language models for life cycle assessments: Opportunities, challenges, and risks
Nathan Preuss, Abdulelah S. Alshehri, Fengqi You
Journal of Cleaner Production (2024) Vol. 466, pp. 142824-142824
Closed Access | Times Cited: 10
SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
Liangtai Sun, Han Yang, Zihan Zhao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19053-19061
Open Access | Times Cited: 9
Value‐sensitive design of chatbots in environmental education: Supporting identity, connectedness, well‐being and sustainability
Ha Nguyen, Victoria Nguyen, Sara Ludovise, et al.
British Journal of Educational Technology (2025)
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top