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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:

A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination
Timothy R. McIntosh, Tong Liu, Teo Sušnjak, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 6, pp. 2739-2751
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Fake News Detection with Large Language Models on the LIAR Dataset
David Boissonneault, Emily Hensen
Research Square (Research Square) (2024)
Open Access | Times Cited: 34
Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction
Jeandri Robertson, Caitlin Ferreira, Elsamari Botha, et al.
Business Horizons (2024) Vol. 67, Iss. 5, pp. 499-510
Open Access | Times Cited: 30
The Inadequacy of Reinforcement Learning From Human Feedback—Radicalizing Large Language Models via Semantic Vulnerabilities
Timothy R. McIntosh, Teo Sušnjak, Tong Liu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1561-1574
Closed Access | Times Cited: 28
Analyzing and Mitigating Cultural Hallucinations of Commercial Language Models in Turkish
Yiğithan Boztemir, Nilüfer Çalışkan
(2024)
Open Access | Times Cited: 24
A Systematic Review of the Limitations and Associated Opportunities of ChatGPT
Ngo Cong-Lem, Ali Soyoof, Diki Tsering
International Journal of Human-Computer Interaction (2024), pp. 1-16
Open Access | Times Cited: 24
From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models
Timothy R. McIntosh, Teo Sušnjak, Tong Liu, et al.
Computers & Security (2024) Vol. 144, pp. 103964-103964
Open Access | Times Cited: 24
Hallucination Reduction in Large Language Models with Retrieval-Augmented Generation Using Wikipedia Knowledge
Jason Kirchenbauer, Caleb Barns
(2024)
Open Access | Times Cited: 23
Reducing LLM Hallucination Using Knowledge Distillation: A Case Study with Mistral Large and MMLU Benchmark
Daniel McDonald, Rachael Papadopoulos, Leslie Benningfield
(2024)
Open Access | Times Cited: 20
Reducing Hallucinations in Large Language Models Through Contextual Position Encoding
Sarah Desrochers, James Wilson, Matthew Beauchesne
(2024)
Open Access | Times Cited: 20
A Comparative Analysis to Evaluate Bias and Fairness Across Large Language Models with Benchmarks
陳文意, 黃兆明
(2024)
Open Access | Times Cited: 19
Efficiency in Language Understanding and Generation: An Evaluation of Four Open-Source Large Language Models
Siu Ming Wong, Ho-fung Leung, Ka Yan Wong
Research Square (Research Square) (2024)
Open Access | Times Cited: 18
Comparative Analysis of ChatGPT-4 and Google Gemini for Spam Detection on the SpamAssassin Public Mail Corpus
Ketut Mardiansyah, Wayan Surya
Research Square (Research Square) (2024)
Open Access | Times Cited: 18
Achieving Higher Factual Accuracy in Llama LLM with Weighted Distribution of Retrieval-Augmented Generation
盖振华, Lianxin Tong, Quan Ge
(2024)
Open Access | Times Cited: 18
Combining LoRA to GPT-Neo to Reduce Large Language Model Hallucination
Shi-han Huang, Chia-Yu Chen
Research Square (Research Square) (2024)
Open Access | Times Cited: 15
Integrating Deep Learning with Symbolic Reasoning in TinyLlama for Accurate Information Retrieval
Xingyu Xiong, Mingliang Zheng
Research Square (Research Square) (2024)
Open Access | Times Cited: 14
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Teo Sušnjak, P. Hwang, Napoleon H. Reyes, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Open Access | Times Cited: 1
Identity, crimes, and law enforcement in the Metaverse
Hua Xuan Qin, Yuyang Wang, Pan Hui
Humanities and Social Sciences Communications (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Enhancing Accuracy in Large Language Models Through Dynamic Real-Time Information Injection
Qian Ouyang, Shiyu Wang, Bing Wang
(2023)
Open Access | Times Cited: 32
Evaluating Large Language Models in Ransomware Negotiation: A Comparative Analysis of ChatGPT and Claude
Takako Kumamoto, Yunko Yoshida, Himari Fujima
Research Square (Research Square) (2023)
Open Access | Times Cited: 21
Implementing Automated Error Correction and Feedback Loops in Kimi, A Chinese Large Language Model
Wai-lam Cheung, C.K. Luk
(2024)
Open Access | Times Cited: 12
Dynamic Supplementation of Federated Search Results for Reducing Hallucinations in LLMs
Jichang Chen, Xinnan Huang, Yongping Li
(2024)
Open Access | Times Cited: 12
Comparative Analysis of Automatic Literature Review Using Mistral Large Language Model and Human Reviewers
Hsiao-Ching Tsai, Yueh-Fen Huang, Chih-Wei Kuo
Research Square (Research Square) (2024)
Open Access | Times Cited: 11
Reducing Cultural Hallucination in Non-English Languages Via Prompt Engineering for Large Language Models
Kanato SATO, Haruto Kaneko, Mei Fujimura
(2024)
Open Access | Times Cited: 11
A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning
Timothy R. McIntosh, Tong Liu, Teo Sušnjak, et al.
ACM Transactions on Interactive Intelligent Systems (2024) Vol. 14, Iss. 3, pp. 1-37
Open Access | Times Cited: 11
Measuring the Visual Hallucination in ChatGPT on Visually Deceptive Images
Linzhi Ping, Yue Gu, Liefeng Feng
(2024)
Open Access | Times Cited: 9
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