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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:

Teaching Small Language Models to Reason
Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, et al.
(2023), pp. 1773-1781
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yi‐Zhong Wang, Yeganeh Kordi, Swaroop Mishra, et al.
(2023)
Open Access | Times Cited: 269
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
Large Language Models Can Self-Improve
Jiaxin Huang, Shixiang Gu, Le Hou, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 105
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Cheng-Yu Hsieh, Chun‐Liang Li, Chih‐Kuan Yeh, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 96
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 71
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.
(2023)
Open Access | Times Cited: 69
Large Language Models Are Reasoning Teachers
Namgyu Ho, Laura Schmid, Se-Young Yun
(2023), pp. 14852-14882
Open Access | Times Cited: 58
A Survey on Model Compression for Large Language Models
Xunyu Zhu, Jian Li, Yong Liu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1556-1577
Open Access | Times Cited: 23
DB-GPT: Large Language Model Meets Database
Xuanhe Zhou, Zhaoyan Sun, Guoliang Li
Data Science and Engineering (2024) Vol. 9, Iss. 1, pp. 102-111
Open Access | Times Cited: 16
Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models
Jiang Zhang, Qiong Wu, Yiming Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21779-21787
Open Access | Times Cited: 10
Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step
Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.
(2023), pp. 2665-2679
Open Access | Times Cited: 16
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14384-14396
Open Access | Times Cited: 15
Evaluation of Medium-large Language Models at Zero-shot Closed Book Generative Question Answering
René Peinl, Johannes Wirth
Artificial Intelligence and Applications (2024), pp. 93-111
Open Access | Times Cited: 5
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production
Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, et al.
(2024), pp. 280-291
Open Access | Times Cited: 5
A review of AI edge devices and lightweight CNN deployment
Kailai Sun, Xinwei Wang, Xi Miao, et al.
Neurocomputing (2024) Vol. 614, pp. 128791-128791
Closed Access | Times Cited: 5
Advanced Digital Technologies in the Post-Disaster Reconstruction Process—A Review Leveraging Small Language Models
Ankit Rawat, Emlyn Witt, Mohamad Louay Roumyeh, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3367-3367
Open Access | Times Cited: 4
Distilling ChatGPT for Explainable Automated Student Answer Assessment
Jiazheng Li, Lin Gui, Yuxiang Zhou, et al.
(2023), pp. 6007-6026
Open Access | Times Cited: 10
Evaluating VQA Models’ Consistency in the Scientific Domain
Khanh-An C. Quan, Camille Guinaudeau, Shin’ichi Satoh
Lecture notes in computer science (2025), pp. 398-412
Closed Access
Survey of Artificial Intelligence Model Marketplace
Mian Qian, Abubakar Ahmad Musa, Milon Biswas, et al.
Future Internet (2025) Vol. 17, Iss. 1, pp. 35-35
Open Access
InRanker: Distilled Rankers for Zero-Shot Information Retrieval
Thiago Laitz, Konstantinos Papakostas, Roberto Lotufo, et al.
Lecture notes in computer science (2025), pp. 140-154
Closed Access
Tiny Language Models for Automation and Control: Overview, Potential Applications, and Future Research Directions
Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1318-1318
Open Access
Enhancing Reasoning Capacity of SLM Using Cognitive Enhancement
Jonathan Pan, Swee Liang Wong, Xin Wei Chia, et al.
(2025), pp. 0366-0371
Closed Access
Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models
Michał Romaszewski, Przemysław Sekuła, Przemysław Głomb, et al.
Journal of Artificial Intelligence and Soft Computing Research (2025) Vol. 15, Iss. 3, pp. 279-298
Open Access
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
P Piot, Javier Parapar
Lecture notes in computer science (2025), pp. 376-392
Closed Access
Improving User Engagement and Learning Outcomes in LLM-Based Python Tutor: A Study of PACE
Muhtasim Ibteda Shochcho, Mohammad Ashfaq Ur Rahman, Shadman Rohan, et al.
(2025), pp. 1-12
Closed Access
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