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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.

Requested Article:

Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1104

Showing 1-25 of 1104 citing articles:

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: 1476
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang, Weishi Wang, Shafiq Joty, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 630
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: 483
Competition-level code generation with AlphaCode
Yujia Li, David Choi, Jun‐Young Chung, et al.
Science (2022) Vol. 378, Iss. 6624, pp. 1092-1097
Open Access | Times Cited: 425
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
Luigi De Angelis, Francesco Baglivo, Guglielmo Arzilli, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 369
A Categorical Archive of ChatGPT Failures
Ali Borji
Research Square (Research Square) (2023)
Open Access | Times Cited: 313
Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models
Sami Sarsa, Paul Denny, Arto Hellas, et al.
(2022), pp. 27-43
Open Access | Times Cited: 243
Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
Business & Information Systems Engineering (2023) Vol. 66, Iss. 1, pp. 111-126
Open Access | Times Cited: 209
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin, Jonathan Herzig, Jonathan Berant
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 200
An Analysis of the Automatic Bug Fixing Performance of ChatGPT
Dominik Sobania, Martin Briesch, Carol Hanna, et al.
(2023)
Open Access | Times Cited: 196
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.
(2023), pp. 11523-11530
Open Access | Times Cited: 190
Code as Policies: Language Model Programs for Embodied Control
Jacky Liang, Wenlong Huang, Fei Xia, et al.
(2023)
Open Access | Times Cited: 187
ChatGPT for Robotics: Design Principles and Model Abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, et al.
IEEE Access (2024) Vol. 12, pp. 55682-55696
Open Access | Times Cited: 186
Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2022), pp. 754-768
Open Access | Times Cited: 176
Emergent analogical reasoning in large language models
Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
Nature Human Behaviour (2023) Vol. 7, Iss. 9, pp. 1526-1541
Closed Access | Times Cited: 174
AudioLM: A Language Modeling Approach to Audio Generation
Zalán Borsos, Raphaël Marinier, Damien Vincent, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2023) Vol. 31, pp. 2523-2533
Open Access | Times Cited: 163
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: 162
GitHub Copilot AI pair programmer: Asset or Liability?
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, et al.
Journal of Systems and Software (2023) Vol. 203, pp. 111734-111734
Open Access | Times Cited: 156
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: 156
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
Paul Denny, Viraj Kumar, Nasser Giacaman
(2023), pp. 1136-1142
Open Access | Times Cited: 151
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang, Zhe Gan, Jianfeng Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 3, pp. 3081-3089
Open Access | Times Cited: 148
A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level
Iddo Drori, Sarah Zhang, Reece Shuttleworth, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 32
Open Access | Times Cited: 143
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 143
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: 141
ChatGPT and Software Testing Education: Promises & Perils
Sajed Jalil, S. Rafi, Thomas D. LaToza, et al.
(2023)
Open Access | Times Cited: 135
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