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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:

Measuring Coding Challenge Competence With APPS
Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1146
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
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: 471
Crosslingual Generalization through Multitask Finetuning
Niklas Muennighoff, Thomas J. Wang, Lintang Sutawika, et al.
(2023)
Open Access | Times Cited: 236
Automated Repair of Programs from Large Language Models
Zhiyu Fan, Xiang Gao, Мартин Мирчев, et al.
(2023), pp. 1469-1481
Open Access | Times Cited: 109
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
M.F. Wong, Shangxin Guo, Ching Nam Hang, et al.
Entropy (2023) Vol. 25, Iss. 6, pp. 888-888
Open Access | Times Cited: 51
Large Language Models Meet NL2Code: A Survey
Daoguang Zan, Bei Chen, Fengji Zhang, et al.
(2023)
Open Access | Times Cited: 51
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
No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
Zhijie Liu, Yutian Tang, Xiapu Luo, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 6, pp. 1548-1584
Open Access | Times Cited: 25
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
Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation
Mingjie Liu, Nathaniel Pinckney, Brucek Khailany, et al.
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) (2023), pp. 1-8
Closed Access | Times Cited: 26
Statler: State-Maintaining Language Models for Embodied Reasoning
Takuma Yoneda, Jiading Fang, Peng Li, et al.
(2024), pp. 15083-15091
Open Access | Times Cited: 11
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation
Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18099-18107
Open Access | Times Cited: 10
An Empirical Study of Code Smells in Transformer-based Code Generation Techniques
Mohammed Latif Siddiq, Shafayat Hossain Majumder, Maisha R. Mim, et al.
(2022)
Closed Access | Times Cited: 31
Self-Edit: Fault-Aware Code Editor for Code Generation
Kechi Zhang, Zhuo Li, Jia Li, et al.
(2023)
Open Access | Times Cited: 18
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation
Daoguang Zan, Bei Chen, Dejian Yang, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022)
Open Access | Times Cited: 25
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages
Zhiruo Wang, Grace Cuenca, Shuyan Zhou, et al.
(2023)
Open Access | Times Cited: 14
Can LLM Replace Stack Overflow? A Study on Robustness and Reliability of Large Language Model Code Generation
Li Zhong, Zilong Wang
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21841-21849
Open Access | Times Cited: 6
Natural Language to Code Translation with Execution
Freda Shi, Daniel Fried, Marjan Ghazvininejad, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 21
Open-ended Knowledge Tracing for Computer Science Education
Naiming Liu, Zichao Wang, Richard G. Baraniuk, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 3849-3862
Open Access | Times Cited: 21
Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations
Erfan Al-Hossami, Rǎzvan Bunescu, Ryan Teehan, et al.
(2023), pp. 709-726
Open Access | Times Cited: 12
MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation
Zeming Dong, Qiang Hu, Yuejun Guo, et al.
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2023), pp. 379-390
Open Access | Times Cited: 11
Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?
Jean-Baptiste Döderlein, Mathieu Acher, Djamel Eddine Khelladi, et al.
(2023)
Open Access | Times Cited: 11
Benchmarking Causal Study to Interpret Large Language Models for Source Code
Daniel Rodríguez-Cárdenas, David N. Palacio, Dipin Khati, et al.
(2023), pp. 329-334
Open Access | Times Cited: 11
Learning-based Widget Matching for Migrating GUI Test Cases
Y X Zhang, Wenjie Zhang, Dezhi Ran, et al.
(2024), pp. 1-13
Open Access | Times Cited: 4
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