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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:

Evaluation of Text Generation: A Survey
Aslı Çelikyılmaz, Elizabeth Clark, Jianfeng Gao
arXiv (Cornell University) (2020)
Open Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, et al.
AI Open (2021) Vol. 2, pp. 100-126
Open Access | Times Cited: 206
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.
(2021)
Open Access | Times Cited: 151
Towards Natural Language Interfaces for Data Visualization: A Survey
Leixian Shen, Enya Shen, Yuyu Luo, et al.
IEEE Transactions on Visualization and Computer Graphics (2022) Vol. 29, Iss. 6, pp. 3121-3144
Open Access | Times Cited: 79
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
Sebastian Gehrmann, Elizabeth A. Clark, Thibault Sellam
Journal of Artificial Intelligence Research (2023) Vol. 77, pp. 103-166
Open Access | Times Cited: 69
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 61
Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang, et al.
(2023)
Open Access | Times Cited: 42
Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions
David M. Howcroft, Anja Belz, Miruna Clinciu, et al.
(2020)
Open Access | Times Cited: 109
Hurdles to Progress in Long-form Question Answering
Kalpesh Krishna, Aurko Roy, Mohit Iyyer
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 95
Q2: : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Or Honovich, Leshem Choshen, Roee Aharoni, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 83
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text
Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 58
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation.
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 56
AI-based learning content generation and learning pathway augmentation to increase learner engagement
Chaitali Diwan, Srinath Srinivasa, Gandharv Suri, et al.
Computers and Education Artificial Intelligence (2022) Vol. 4, pp. 100110-100110
Open Access | Times Cited: 56
A survey on Sign Language machine translation
Adrián Núñez-Marcos, Olatz Perez-de-Viñaspre, Gorka Labaka
Expert Systems with Applications (2022) Vol. 213, pp. 118993-118993
Open Access | Times Cited: 51
A Systematic Literature Review on Text Generation Using Deep Neural Network Models
Noureen Fatima, Ali Shariq Imran, Zenun Kastrati, et al.
IEEE Access (2022) Vol. 10, pp. 53490-53503
Open Access | Times Cited: 37
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN
R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 652-670
Open Access | Times Cited: 23
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce
Yangning Li, Shirong Ma, Xiaobin Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 18582-18590
Open Access | Times Cited: 7
GO FIGURE: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel, Aslı Çelikyılmaz, Rahul Jha, et al.
(2021), pp. 478-487
Open Access | Times Cited: 52
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Marzena Karpinska, Nader Akoury, Mohit Iyyer
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 43
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 42
Learning Compact Metrics for MT
Amy Pu, Hyung Won Chung, Ankur P. Parikh, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 751-762
Open Access | Times Cited: 41
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
Erkut Erdem, Menekşe Kuyu, Semih Yagcioglu, et al.
Journal of Artificial Intelligence Research (2022) Vol. 73, pp. 1131-1207
Open Access | Times Cited: 34
Fine-Grained Controllable Text Generation Using Non-Residual Prompting
Fredrik Carlsson, Joey Öhman, Fangyu Liu, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 27
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.
(2023)
Open Access | Times Cited: 18
An Overview on Generative AI at Scale With Edge–Cloud Computing
Yun-Cheng Wang, Jintang Xue, Chengwei Wei, et al.
IEEE Open Journal of the Communications Society (2023) Vol. 4, pp. 2952-2971
Open Access | Times Cited: 16
GLDM: hit molecule generation with constrained graph latent diffusion model
Conghao Wang, Ong Hiok Hian, Shunsuke Chiba, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
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