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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:

Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yi‐Zhong Wang, Yeganeh Kordi, Swaroop Mishra, et al.
(2023)
Open Access | Times Cited: 262

Showing 1-25 of 262 citing articles:

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.
(2023)
Open Access | Times Cited: 371
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
ChatGPT: potential, prospects, and limitations
Jie Zhou, Ke Pei, Xipeng Qiu, et al.
Frontiers of Information Technology & Electronic Engineering (2023) Vol. 25, Iss. 1, pp. 6-11
Closed Access | Times Cited: 109
A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao, et al.
National Science Review (2024) Vol. 11, Iss. 12
Open Access | Times Cited: 84
Understanding Large-Language Model (LLM)-powered Human-Robot Interaction
Callie Y. Kim, Christine P. Lee, Bilge Mutlu
(2024), pp. 371-380
Open Access | Times Cited: 38
The benefits, risks and bounds of personalizing the alignment of large language models to individuals
Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 4, pp. 383-392
Closed Access | Times Cited: 36
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Long Chen, Oleg Sinavski, Jan Hünermann, et al.
(2024), pp. 14093-14100
Open Access | Times Cited: 36
A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs)
Rajvardhan Patil, Venkat N. Gudivada
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2074-2074
Open Access | Times Cited: 35
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue
Songhua Yang, Hanjie Zhao, Senbin Zhu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19368-19376
Open Access | Times Cited: 28
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lù, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 681-699
Open Access | Times Cited: 28
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
Kailai Yang, Tianlin Zhang, Ziyan Kuang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4489-4500
Open Access | Times Cited: 25
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
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
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
Yuqiang Sun, Daoyuan Wu, Yue Xue, et al.
(2024), pp. 1-13
Open Access | Times Cited: 22
GraphGPT: Graph Instruction Tuning for Large Language Models
Jiabin Tang, Yuhao Yang, Wei Wei, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 491-500
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
Towards Building The Federatedgpt: Federated Instruction Tuning
Jianyi Zhang, Saeed Vahidian, Martin Kuo, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6915-6919
Open Access | Times Cited: 21
Empowering digital twins with large language models for global temporal feature learning
Yicheng Sun, Qi Zhang, Jinsong Bao, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 83-99
Closed Access | Times Cited: 18
Exploring Human-Like Translation Strategy with Large Language Models
Zhiwei He, Tian Liang, Wenxiang Jiao, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 229-246
Open Access | Times Cited: 16
Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant
Mingze Yuan, Peng Bao, Jiajia Yuan, et al.
Medicine Plus (2024) Vol. 1, Iss. 2, pp. 100030-100030
Open Access | Times Cited: 16
Structured Chain-of-Thought Prompting for Code Generation
Jia Li, Ge Li, Yongmin Li, et al.
ACM Transactions on Software Engineering and Methodology (2024)
Open Access | Times Cited: 16
LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
Chenxi Whitehouse, Monojit Choudhury, Alham Aji
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 29
LLM Multimodal Traffic Accident Forecasting
I. de Zarzà, J. de Curtò, Gemma Roig, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9225-9225
Open Access | Times Cited: 28
ChemNLP: A Natural Language-Processing-Based Library for Materials Chemistry Text Data
Kamal Choudhary, Mathew L. Kelley
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 35, pp. 17545-17555
Closed Access | Times Cited: 27
Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
Nandana Mihindukulasooriya, Sanju Tiwari, Carlos F. Enguix, et al.
Lecture notes in computer science (2023), pp. 247-265
Closed Access | Times Cited: 25
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