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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:

Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
Chaoya Jiang, Haiyang Xu, Mengfan Dong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 27026-27036
Closed Access | Times Cited: 12

Showing 12 citing articles:

Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making
Elena Sblendorio, Vincenzo Dentamaro, Alessio Lo Cascio, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105501-105501
Open Access | Times Cited: 8
Hallucinations of large multimodal models: Problem and countermeasures
Shiliang Sun, Zhilin Lin, Xuhan Wu
Information Fusion (2025), pp. 102970-102970
Closed Access
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
Shuwen Dong, Haiyan Zhao, Jingyu Hu, et al.
(2025)
Open Access
Mitigating Multimodal Large Language Model Hallucinations Through Direct Preference Optimization
Yunhao Yang, Jiaqi Zhang
Communications in computer and information science (2025), pp. 247-258
Closed Access
Advancing Multimodal Large Language Models: Optimizing Prompt Engineering Strategies for Enhanced Performance
Miseol Son, Sungjin Lee
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3992-3992
Open Access
Providing Automated Feedback on Formative Science Assessments: Uses of Multimodal Large Language Models
Ha Nguyen, Saerok Park
(2025), pp. 803-809
Closed Access
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
Yassine Ouali, Adrian Bulat, Brais MartĂ­nez, et al.
Lecture notes in computer science (2024), pp. 395-413
Closed Access | Times Cited: 1
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models
Jinrui Zhang, Teng Wang, Haigang Zhang, et al.
Lecture notes in computer science (2024), pp. 196-213
Closed Access | Times Cited: 1
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
Minchan Kim, Minyeong Kim, Junik Bae, et al.
Lecture notes in computer science (2024), pp. 236-252
Closed Access
Preliminary Results of An Experiment on Leveraging Large Language Models to Assist Modelers in Interpreting DEVS Natural Language Models
Valdemar Vicente Graciano Neto, Nicholas Keller, Doohwan Kim, et al.
(2024), pp. 41-50
Closed Access
Large Vision-Language Model Security: A Survey
Taowen Wang, Fang Zheng, Haochen Xue, et al.
Communications in computer and information science (2024), pp. 3-22
Closed Access
HeteroQA-IB: Effective Question Answering on Heterogeneous Data Sources via Information Bottleneck Filtering
Youming Zhang, Xiaoyong Wu, S. Hou, et al.
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 1076-1082
Closed Access
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