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:
Enhancing Contextual Understanding of Mistral LLM with External Knowledge Bases
Miyu Sasaki, Natsumi Watanabe, Tsukihito Komanaka
Research Square (Research Square) (2024)
Open Access | Times Cited: 8
Miyu Sasaki, Natsumi Watanabe, Tsukihito Komanaka
Research Square (Research Square) (2024)
Open Access | Times Cited: 8
Showing 8 citing articles:
Investigating Hallucination Tendencies of Large Language Models in Japanese and English
Hiromi Tsuruta, Rio Sakaguchi
Research Square (Research Square) (2024)
Open Access | Times Cited: 9
Hiromi Tsuruta, Rio Sakaguchi
Research Square (Research Square) (2024)
Open Access | Times Cited: 9
Enhancing IoT Security: Predicting Password Vulnerability and Providing Dynamic Recommendations using Machine Learning and Large Language Models
Mariam Gewida, Yanzhen Qu
European Journal of Electrical Engineering and Computer Science (2025) Vol. 9, Iss. 1, pp. 8-16
Open Access
Mariam Gewida, Yanzhen Qu
European Journal of Electrical Engineering and Computer Science (2025) Vol. 9, Iss. 1, pp. 8-16
Open Access
Easy Problems that LLMs Get Wrong
James Huckle, Sean Williams
Lecture notes in networks and systems (2025), pp. 313-332
Closed Access
James Huckle, Sean Williams
Lecture notes in networks and systems (2025), pp. 313-332
Closed Access
Unveiling the Role of Feed-Forward Blocks in Contextualization: An Analysis Using Attention Maps of Large Language Models
Michael Tremblay, Sarah J. Gervais, David Maisonneuve
(2024)
Open Access | Times Cited: 4
Michael Tremblay, Sarah J. Gervais, David Maisonneuve
(2024)
Open Access | Times Cited: 4
Efficient Conceptual Knowledge Removal in Large Language Models: Methods and Evaluations
Miyim Dimitriou, Daniel Rogowski, Michael C. Anderson, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Miyim Dimitriou, Daniel Rogowski, Michael C. Anderson, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Elevating the Inference Performance of LLMs with Reverse Inference Federation
Qinian Li, Yuetian Gu
Research Square (Research Square) (2024)
Open Access
Qinian Li, Yuetian Gu
Research Square (Research Square) (2024)
Open Access
Growing Smaller Language Models Using Knowledge Distillation from Larger Models
Michael Featherstone, Emily Cuthbertson, David Appleyard, et al.
(2024)
Open Access
Michael Featherstone, Emily Cuthbertson, David Appleyard, et al.
(2024)
Open Access
Enhanced Cross-Domain Named Entity Recognition of Large Language Model through Label Alignment
E. J. Ashworth, B.L. Holman, Jacob Coulson, et al.
(2024)
Open Access
E. J. Ashworth, B.L. Holman, Jacob Coulson, et al.
(2024)
Open Access
