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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:

SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures
Megan Ung, Jing Xu, Y-Lan Boureau
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 6462-6481
Open Access | Times Cited: 19

Showing 19 citing articles:

Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.
Computational Linguistics (2024) Vol. 50, Iss. 3, pp. 1097-1179
Open Access | Times Cited: 101
A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs)
Rajvardhan Patil, Venkat N. Gudivada
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2074-2074
Open Access | Times Cited: 35
A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs)
Rajvardhan Patil, And Venkat Gudivada
(2024)
Open Access | Times Cited: 15
ProsocialDialog: A Prosocial Backbone for Conversational Agents
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 36
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models
Qiang Zhang, Jason Naradowsky, Yusuke Miyao
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 15
Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities
Yang Deng, Lizi Liao, Wenqiang Lei, et al.
ACM transactions on office information systems (2025)
Closed Access
Between reality and delusion: challenges of applying large language models to companion robots for open-domain dialogues with older adults
Bahar Irfan, Sanna Kuoppamäki, Aida Hosseini, et al.
Autonomous Robots (2025) Vol. 49, Iss. 1
Open Access
"Till I can get my satisfaction": Open Questions in the Public Desire to Punish AI
Eddie L. Ungless, Björn Roß, Zachary Horne
(2025), pp. 1-8
Closed Access
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
Prakhar Gupta, Cathy Jiao, Yi‐Ting Yeh, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 505-525
Open Access | Times Cited: 16
Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark
Jingyan Zhou, Jiawen Deng, Fei Mi, et al.
(2022), pp. 3576-3591
Open Access | Times Cited: 16
Using In-Context Learning to Improve Dialogue Safety
Nicholas Meade, Spandana Gella, Devamanyu Hazarika, et al.
(2023)
Open Access | Times Cited: 7
Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design
A. Stevie Bergman, Gavin Abercrombie, Shannon Spruit, et al.
(2022)
Open Access | Times Cited: 10
Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond
Yang Deng, Wenqiang Lei, Minlie Huang, et al.
(2023)
Open Access | Times Cited: 6
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
SafeConv: Explaining and Correcting Conversational Unsafe Behavior
Mian Zhang, Lifeng Jin, Linfeng Song, et al.
(2023), pp. 22-35
Open Access | Times Cited: 3
Sources of Noise in Dialogue and How to Deal with Them
Derek Chen, Yu Zhou
(2023), pp. 1-20
Open Access | Times Cited: 2
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines
Prakhar Gupta, Yang Liu, Di Jin, et al.
(2023), pp. 14031-14047
Open Access | Times Cited: 1
Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?
Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16259-16279
Open Access
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation
Gunsoo Han, Daejin Jo, Daniel Nam, et al.
(2023), pp. 2683-2702
Open Access
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