
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:
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts
Jaromír Šavelka, Kevin D. Ashley
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 19
Jaromír Šavelka, Kevin D. Ashley
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 19
Showing 19 citing articles:
Empirical legal analysis simplified: reducing complexity through automatic identification and evaluation of legally relevant factors
Morgan Gray, Jaromír Šavelka, Wesley M. Oliver, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 382, Iss. 2270
Closed Access | Times Cited: 5
Morgan Gray, Jaromír Šavelka, Wesley M. Oliver, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 382, Iss. 2270
Closed Access | Times Cited: 5
An IS Research Agenda on Large Language Models: Development, Applications, and Impacts on Business and Management
Michael Chau, Jennifer Xu
ACM Transactions on Management Information Systems (2025) Vol. 16, Iss. 1, pp. 1-11
Closed Access
Michael Chau, Jennifer Xu
ACM Transactions on Management Information Systems (2025) Vol. 16, Iss. 1, pp. 1-11
Closed Access
Legal large language models (LLMs): legal dynamos or “fancifully packaged ChatGPT”?
Fife Ogunde
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
Fife Ogunde
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
Large language models: a new approach for privacy policy analysis at scale
David Rodríguez, Ian A. Yang, José M. Del Álamo, et al.
Computing (2024) Vol. 106, Iss. 12, pp. 3879-3903
Open Access | Times Cited: 3
David Rodríguez, Ian A. Yang, José M. Del Álamo, et al.
Computing (2024) Vol. 106, Iss. 12, pp. 3879-3903
Open Access | Times Cited: 3
Large Language Model Prompting Techniques for Advancement in Clinical Medicine
Krish Shah, Andrew Xu, Yatharth Sharma, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 17, pp. 5101-5101
Open Access | Times Cited: 3
Krish Shah, Andrew Xu, Yatharth Sharma, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 17, pp. 5101-5101
Open Access | Times Cited: 3
It cannot be right if it was written by AI: on lawyers’ preferences of documents perceived as authored by an LLM vs a human
Jakub Harašta, Tereza Novotná, Jaromír Šavelka
Artificial Intelligence and Law (2024)
Closed Access | Times Cited: 3
Jakub Harašta, Tereza Novotná, Jaromír Šavelka
Artificial Intelligence and Law (2024)
Closed Access | Times Cited: 3
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Kumar Sharma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4664-4673
Open Access | Times Cited: 2
Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Kumar Sharma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4664-4673
Open Access | Times Cited: 2
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies
Jakub Drápal, Hannes Westermann, Jaromír Šavelka
SSRN Electronic Journal (2023)
Open Access | Times Cited: 5
Jakub Drápal, Hannes Westermann, Jaromír Šavelka
SSRN Electronic Journal (2023)
Open Access | Times Cited: 5
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies
Jakub Drápal, Hannes Westermann, Jaromír Šavelka
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 4
Jakub Drápal, Hannes Westermann, Jaromír Šavelka
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 4
To What Extent Have LLMs Reshaped the Legal Domain So Far? A Scoping Literature Review
Bogdan Padiu, Radu Iacob, Traian Rebedea, et al.
Information (2024) Vol. 15, Iss. 11, pp. 662-662
Open Access | Times Cited: 1
Bogdan Padiu, Radu Iacob, Traian Rebedea, et al.
Information (2024) Vol. 15, Iss. 11, pp. 662-662
Open Access | Times Cited: 1
A Systematic Comparison Between Open- and Closed-Source Large Language Models in the Context of Generating GDPR-Compliant Data Categories for Processing Activity Records
Michael J. Schwerin, Manfred Reichert
Future Internet (2024) Vol. 16, Iss. 12, pp. 459-459
Open Access
Michael J. Schwerin, Manfred Reichert
Future Internet (2024) Vol. 16, Iss. 12, pp. 459-459
Open Access
Advancements in Word Sense Disambiguation: A Poly-Encoder Bert Model Perspective
Linhan Xia, Jiaxin Cai, E.-F. Huang, et al.
(2024)
Open Access
Linhan Xia, Jiaxin Cai, E.-F. Huang, et al.
(2024)
Open Access
Predictive Modeling and Deep Phenotyping of Obstructive Sleep Apnea and Associated Comorbidities through Natural Language Processing and Large Language Models
Awwal Ahmed, Anthony Rispoli, Carrie Wasieloski, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Awwal Ahmed, Anthony Rispoli, Carrie Wasieloski, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Prompts and Large Language Models: A New Tool for Drafting, Reviewing and Interpreting Contracts?
Brydon Wang
Law Technology and Humans (2024) Vol. 6, Iss. 2, pp. 88-106
Open Access
Brydon Wang
Law Technology and Humans (2024) Vol. 6, Iss. 2, pp. 88-106
Open Access
Three Faces of Heroism: An Empirical Study of Indirect Literary Translation Between Chinese-English-Portuguese of Wuxia Fiction
Zhou Mengyuan
Corpus-based Studies across Humanities (2024) Vol. 2, Iss. 1, pp. 157-186
Open Access
Zhou Mengyuan
Corpus-based Studies across Humanities (2024) Vol. 2, Iss. 1, pp. 157-186
Open Access
Topic-Driven Contractual Language Understanding and Summarization: An Integrated Approach for Simplifying Legal Documents
Karunya Harikrishnan, M. Malathi, K B Sundharakumar
(2024), pp. 1-6
Closed Access
Karunya Harikrishnan, M. Malathi, K B Sundharakumar
(2024), pp. 1-6
Closed Access
Mapping Source Code to Software Architecture by Leveraging Large Language Models
Nils Johansson, Mauro Caporuscio, Tobias Olsson
Lecture notes in computer science (2024), pp. 133-149
Closed Access
Nils Johansson, Mauro Caporuscio, Tobias Olsson
Lecture notes in computer science (2024), pp. 133-149
Closed Access
From Mission to Market: Assessing Sector Overlap Between Nonprofits and For-Profits
Dominik S. Meier, Georg von Schnurbein
Nonprofit and Voluntary Sector Quarterly (2024)
Closed Access
Dominik S. Meier, Georg von Schnurbein
Nonprofit and Voluntary Sector Quarterly (2024)
Closed Access
Can GPT Alleviate the Burden of Annotation?
Morgan Gray, Jaromír Šavelka, Wesley M. Oliver, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 1
Morgan Gray, Jaromír Šavelka, Wesley M. Oliver, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 1