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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:

Measuring Attribution in Natural Language Generation Models
Hannah Rashkin, V. A. Nikolaev, Matthew S. Lamm, et al.
Computational Linguistics (2023) Vol. 49, Iss. 4, pp. 777-840
Open Access | Times Cited: 14

Showing 14 citing articles:

Evaluating Verifiability in Generative Search Engines
Nelson F. Liu, Tianyi Zhang, Percy Liang
(2023)
Open Access | Times Cited: 62
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
Retrieving Supporting Evidence for Generative Question Answering
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
(2023)
Open Access | Times Cited: 14
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
Yuanjie Lyu, Zhiyu Li, Simin Niu, et al.
ACM transactions on office information systems (2024)
Open Access | Times Cited: 4
On the Capacity of Citation Generation by Large Language Models
Haili Qian, Yixing Fan, R. Zhang, et al.
Lecture notes in computer science (2025), pp. 109-123
Closed Access
Estimating the Confidence of Language Model Generation using Training Data
Hiyori Yoshikawa, Naoaki Okazaki
Journal of Natural Language Processing (2025) Vol. 32, Iss. 1, pp. 91-113
Open Access
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6523-6533
Open Access | Times Cited: 3
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
Mobashir Sadat, Zhengyu Zhou, Lukas Lange, et al.
(2023), pp. 822-835
Open Access | Times Cited: 7
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, et al.
(2024), pp. 665-683
Open Access | Times Cited: 1
Large language models present new questions for decision support
Abram Handler, Kai R. Larsen, Richard D. Hackathorn
International Journal of Information Management (2024) Vol. 79, pp. 102811-102811
Closed Access | Times Cited: 1
A Brief Survey on Safety of Large Language Models
Zhengjie Gao, Xuanzi Liu, Yuan-shuai Lan, et al.
Journal of Computing and Information Technology (2024) Vol. 32, Iss. 1, pp. 47-64
Open Access | Times Cited: 1
Emptying the Ocean with a Spoon: Should We Edit Models?
Yuval Pinter, Michael Elhadad
(2023), pp. 15164-15172
Open Access | Times Cited: 3
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
Hierarchical Indexing for Retrieval-Augmented Opinion Summarization
Tom Hosking, Hao Tang, Mirella Lapata
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1533-1555
Open Access
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