OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Enabling Large Language Models to Generate Text with Citations
Tianyu Gao, H. W. Yen, Jiatong Yu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

Defining a New NLP Playground
Sha Li, Chi Han, Pengfei Yu, et al.
(2023), pp. 11932-11951
Open Access | Times Cited: 2

Learning from Failure: Improving Meeting Summarization without Good Samples
Ke Wang, Xiutian Zhao, Wei Peng
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19153-19161
Open Access

Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards (Preprint)
Eliza Berman, Holly Sundberg Malek, Michael Bitzer, et al.
(2024)
Closed Access

Utilizing Generative Artificial Intelligence in the Online Counselor Education Classroom
Jill Brue, Jacob Brue
Journal of Technology in Counselor Education and Supervision (2024) Vol. 5, Iss. 1
Open Access

An Evaluation Framework for Attributed Information Retrieval using Large Language Models
Hanane Djeddal, Pierre Erbacher, Raouf Toukal, et al.
(2024), pp. 5354-5359
Closed Access

A survey of recent approaches to form understanding in scanned documents
Abdelrahman Abdallah, Daniel Eberharter, Zoe Pfister, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access

Self-explanatory Retrieval-Augmented Generation for SDG Evidence Identification
Darío Garigliotti
Lecture notes in computer science (2024), pp. 124-132
Closed Access

On the legal implications of Large Language Model answers: A prompt engineering approach and a view beyond by exploiting Knowledge Graphs
George Hannah, Rita T. Sousa, Ioannis Dasoulas, et al.
Journal of Web Semantics (2024), pp. 100843-100843
Open Access

CLAPnq: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
Sara Rosenthal, Avirup Sil, Radu Florian, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 13, pp. 53-72
Open Access

GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation
Brendan Rappazzo, Yingheng Wang, Aaron Ferber, et al.
(2024), pp. 1259-1264
Closed Access

Physio: An LLM-Based Physiotherapy Advisor
Rúben Almeida, Hugo Sousa, Luís Filipe Cunha, et al.
arXiv (Cornell University) (2024)
Open Access

Chain-of-Thought Improves Text Generation with Citations in Large Language Models
Bin Ji, Huijun Liu, Mingzhe Du, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18345-18353
Open Access

Finding the reference text in citation contexts using attention model
Dilawar Khan, Iftikhar Ahmed, Inam Ullah, et al.
Service Oriented Computing and Applications (2024)
Closed Access

Surveying the Impact of Generative Artificial Intelligence on Political Science Education
Nicole Wu, Patrick Y. Wu
PS Political Science & Politics (2024), pp. 1-8
Open Access

Enhancing LLM’s Reliability by Iterative Verification Attributions with Keyword Fronting
Yize Sui, Ren Jing, Huibin Tan, et al.
Lecture notes in computer science (2024), pp. 251-268
Closed Access

Entity Examples for Explainable Query Target Type Identification with LLMs
Darío Garigliotti
Lecture notes in computer science (2024), pp. 253-259
Closed Access

Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
Fernando Díaz, Andrew Drozdov, To Eun Kim, et al.
(2024), pp. 299-302
Open Access

Conditional Label Smoothing For LLM-Based Data Augmentation in Medical Text Classification
Luca Becker, Philip Pracht, Peter Sertdal, et al.
2022 IEEE Spoken Language Technology Workshop (SLT) (2024), pp. 833-840
Closed Access

ActionFusion: Framework of Large Action Model Enablement
Richard Shan, Tony Shan
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5432-5441
Closed Access

Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
Sagi Shaier, Lawrence Hunter, Katharina Kann
(2023), pp. 113-120
Open Access | Times Cited: 1

Large Language Models as SocioTechnical Systems
Kaustubh Dhole
(2023), pp. 66-79
Open Access | Times Cited: 1

1-PAGER: One Pass Answer Generation and Evidence Retrieval
Palak Jain, Livio Baldini Soares, Tom Kwiatkowski
(2023), pp. 14529-14543
Open Access

Generative AI-Based Data Analysis for Evaluation of Variations in XPS Characteristics of MoS2
Sachin Shendokar, Nagesh Raykar, Ajinkya S. Bankar, et al.
(2023), pp. 1-5
Closed Access

Previous Page - Page 2

Scroll to top