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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:

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich, Thomas Scialom, Omer Levy, et al.
(2023)
Open Access | Times Cited: 53

Showing 1-25 of 53 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: 262
Crosslingual Generalization through Multitask Finetuning
Niklas Muennighoff, Thomas J. Wang, Lintang Sutawika, et al.
(2023)
Open Access | Times Cited: 234
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT
Ce Zhou, Qian Li, Chen Li, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 126
A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin, et al.
(2024)
Open Access | Times Cited: 40
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Wenbo Hu, Yifan Xu, Yi Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 3, pp. 2256-2264
Open Access | Times Cited: 23
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
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Martin Josifoski, Marija Šakota, Maxime Peyrard, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1555-1574
Open Access | Times Cited: 28
CodeS: Towards Building Open-source Language Models for Text-to-SQL
Haoyang Li, Jing Zhang, Hanbing Liu, et al.
Proceedings of the ACM on Management of Data (2024) Vol. 2, Iss. 3, pp. 1-28
Open Access | Times Cited: 11
Knowledge Editing for Large Language Models: A Survey
Song Wang, Yaochen Zhu, Haochen Liu, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-37
Open Access | Times Cited: 8
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
Can Large Language Models Understand Real-World Complex Instructions?
Qianyu He, Jie Zeng, Wenhao Huang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18188-18196
Open Access | Times Cited: 7
A large-scale audit of dataset licensing and attribution in AI
Shayne Longpre, Robert Mahari, Anthony Chen, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 975-987
Open Access | Times Cited: 7
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model
Yunkai Chen, Qimeng Wang, Shiwei Wu, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 7, pp. 1-19
Open Access | Times Cited: 6
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
Oscar Sainz, Jon Ander Campos, Iker García-Ferrero, et al.
(2023)
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
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare
Jingwei Zhu, Minghuan Tan, Min Yang, et al.
Lecture notes in computer science (2025), pp. 51-60
Closed Access
IPM-AgriGPT: A Large Language Model for Pest and Disease Management with a G-EA Framework and Agricultural Contextual Reasoning
Yuqin Zhang, Qijie Fan, Xuan Chen, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 566-566
Open Access
Accelerating Mixture-of-Experts language model inference via plug-and-play lookahead gate on a single GPU
Jie Ou, Yueming Chen, Buyao Xiong, et al.
Computer Standards & Interfaces (2025), pp. 103996-103996
Closed Access
Enhancing Green Practice Detection in Social Media with Paraphrasing-Based Data Augmentation
Anna Glazkova, Olga V. Zakharova
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 4, pp. 81-81
Open Access
Large language models: assessment for singularity
Ryunosuke Ishizaki, Mahito Sugiyama
AI & Society (2025)
Open Access
Large Language Models Are Human-Like Annotators
Mounika Marreddy, Subba Reddy Oota, Manish Gupta
Lecture notes in computer science (2025), pp. 291-299
Closed Access
Emerging Data Practices: Data Work in the Era of Large Language Models
Adriana Alvarado Garcia, Heloísa Candello, Karla Badillo-Urquiola, et al.
(2025), pp. 1-21
Closed Access
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Yin Da, Xiao Liu, Fan Yin, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 4031-4047
Open Access | Times Cited: 10
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19386-19394
Open Access | Times Cited: 3
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