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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:

Best practices for the human evaluation of automatically generated text
Chris van der Lee, Albert Gatt, Emiel van Miltenburg, et al.
(2019), pp. 355-368
Open Access | Times Cited: 172

Showing 1-25 of 172 citing articles:

A Survey on Evaluation of Large Language Models
Yupeng Chang, Xu Wang, Jindong Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-45
Open Access | Times Cited: 597
Evaluation of Text Generation: A Survey
Aslı Çelikyılmaz, Elizabeth Clark, Jianfeng Gao
arXiv (Cornell University) (2020)
Open Access | Times Cited: 199
All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text
Elizabeth Clark, Tal August, Sofia Serrano, et al.
(2021)
Open Access | Times Cited: 190
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
Mina Lee, Percy Liang, Qian Yang
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 187
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, et al.
(2020)
Open Access | Times Cited: 173
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
Anna Rogers, Matt Gardner, Isabelle Augenstein
ACM Computing Surveys (2022) Vol. 55, Iss. 10, pp. 1-45
Open Access | Times Cited: 109
Productivity assessment of neural code completion
Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, et al.
(2022)
Open Access | Times Cited: 92
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
Locally Typical Sampling
Clara Meister, Tiago Pimentel, Gian Wiher, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 102-121
Open Access | Times Cited: 43
Human evaluation of automatically generated text: Current trends and best practice guidelines
Chris van der Lee, Albert Gatt, Emiel van Miltenburg, et al.
Computer Speech & Language (2020) Vol. 67, pp. 101151-101151
Open Access | Times Cited: 111
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
With Little Power Comes Great Responsibility
Dallas Card, Peter Henderson, Urvashi Khandelwal, et al.
(2020), pp. 9263-9274
Open Access | Times Cited: 78
We Need to Consider Disagreement in Evaluation
Valerio Basile, Michael Fell, Tommaso Fornaciari, et al.
(2021)
Open Access | Times Cited: 60
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
Creating a large language model of a philosopher
Eric Schwitzgebel, David Schwitzgebel, Anna Strasser
Mind & Language (2023) Vol. 39, Iss. 2, pp. 237-259
Open Access | Times Cited: 35
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity
Hamza Harkous, Isabel Groves, Amir Saffari
Proceedings of the 17th international conference on Computational linguistics - (2020), pp. 2410-2424
Open Access | Times Cited: 65
A Plug-and-Play Method for Controlled Text Generation
Damián Pascual, Béni Egressy, Clara Meister, et al.
(2021), pp. 3973-3997
Open Access | Times Cited: 44
The Human Evaluation Datasheet: A Template for Recording Details of Human Evaluation Experiments in NLP
Anastasia Shimorina, Anja Belz
(2022), pp. 54-75
Open Access | Times Cited: 29
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
From text to treatment: the crucial role of validation for generative large language models in health care
Anne de Hond, Tuur Leeuwenberg, Richard Bartels, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 7, pp. e441-e443
Open Access | Times Cited: 5
Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback
Taufiq Daryanto, Xiaohan Ding, Lance Wilhelm, et al.
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 1, pp. 1-32
Open Access
A Holistic Comparative Study of Large Language Models as Emotional Support Dialogue Systems
Xin Bai, Guanyi Chen, Tingting He, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Closed Access
Pandora: An Ai Model for the Automatic Extraction of Clinical Unstructured Data and Clinical Risk Score Implementation
Daniel Jiménez, Natalia Castano-Villegas, Isabella Llano, et al.
(2025)
Closed Access
Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing
Anja Belz, Simon Mille, David M. Howcroft
(2020), pp. 183-194
Open Access | Times Cited: 44
Cross-modal Coherence Modeling for Caption Generation
Malihe Alikhani, Piyush Sharma, Shengjie Li, et al.
(2020), pp. 6525-6535
Open Access | Times Cited: 43
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