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:

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 12930-12949
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ning Ding, Yulin Chen, Bokai Xu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 31

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim, Segyeong Joo, Doyoung Kim, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 21

PLACES: Prompting Language Models for Social Conversation Synthesis
Maximillian Chen, Alexandros Papangelis, Chenyang Tao, et al.
(2023), pp. 844-868
Open Access | Times Cited: 20

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
Taylor Sorensen, Liwei Jiang, Jena D. Hwang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 19937-19947
Open Access | Times Cited: 7

A survey on learning with noisy labels in Natural Language Processing: How to train models with label noise
Han Zhang, Yazhou Zhang, Jiajun Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110157-110157
Closed Access

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14397-14413
Open Access | Times Cited: 10

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee, Volker Hartmann, Jong-Ho Park, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 8

COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
Xuhui Zhou, Hao Zhu, Akhila Yerukola, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 7

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
Jakub Mačina, Nico Daheim, Sankalan Pal Chowdhury, et al.
(2023), pp. 5602-5621
Open Access | Times Cited: 7

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Boxin Wang, Wei Ping, Peng Xu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 7

Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
Mutian He, Tianqing Fang, Weiqi Wang, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 9

Leveraging Large Language Models for Automated Dialogue Analysis
Sarah E. Finch, Ellie S. Paek, Jinho D. Choi
(2023), pp. 202-215
Open Access | Times Cited: 5

IntentQA: Context-aware Video Intent Reasoning
Jiapeng Li, Ping Wei, Wenjuan Han, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11929-11940
Closed Access | Times Cited: 5

Champagne: Learning Real-world Conversation from Large-Scale Web Videos
Seungju Han, Jack Hessel, Nouha Dziri, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15452-15463
Open Access | Times Cited: 4

ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI
Sarah E. Finch, Jinho D. Choi
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 467-483
Open Access | Times Cited: 1

The future of cognitive strategy-enhanced persuasive dialogue agents: new perspectives and trends
Mengqi Chen, Bin Guo, Hao Wang, et al.
Frontiers of Computer Science (2024) Vol. 19, Iss. 5
Open Access | Times Cited: 1

FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning
Jaemin Shin, H.S. Yoon, Seungjoo Lee, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11971-11988
Open Access | Times Cited: 3

NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation
Oliver Li, Mallika Subramanian, Arkadiy Saakyan, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 15732-15744
Open Access | Times Cited: 3

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
Peter West, Ronan Le Bras, Taylor Sorensen, et al.
(2023), pp. 1127-1149
Open Access | Times Cited: 3

Dialogue Generation Conditional on Predefined Stories: Preliminary Results
Chiaki Miyazaki
IEEE Access (2023) Vol. 11, pp. 85589-85599
Open Access | Times Cited: 2

Prompt-Based Monte-Carlo Tree Search for Goal-oriented Dialogue Policy Planning
Xiao Yu, Maximillian Chen, Zhou Yu
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 2

ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection
Youngwook Kim, Shinwoo Park, Youngsoo Namgoong, et al.
(2023), pp. 10964-10980
Open Access | Times Cited: 2

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
Hyungjoo Chae, Yongho Song, Kai Wen Ong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 5606-5632
Open Access | Times Cited: 2

Dialogue agents 101: a beginner’s guide to critical ingredients for designing effective conversational systems
Shivani Kumar, Sumit Bhatia, Milan Aggarwal, et al.
Natural language processing. (2024), pp. 1-39
Open Access

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