Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.
(2021)
Open Access | Times Cited: 151

Showing 26-50 of 151 citing articles:

Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards
Angelina McMillan-Major, Salomey Osei, Juan Diego Rodríguez, et al.
(2021)
Open Access | Times Cited: 32
Semantic Answer Similarity for Evaluating Question Answering Models
Julian Risch, Timo Möller, Julian Gutsch, et al.
(2021)
Open Access | Times Cited: 32
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems
Evgeniia Razumovskaia, Goran Glavašš, Olga Majewska, et al.
Journal of Artificial Intelligence Research (2022) Vol. 74, pp. 1351-1402
Open Access | Times Cited: 25
Data Governance in the Age of Large-Scale Data-Driven Language Technology
Yacine Jernite, Huu Du Nguyen, Stella Biderman, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2206-2222
Open Access | Times Cited: 25
Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation
Jannis Bulian, Christian Buck, Wojciech Gajewski, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 23
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
ExplainaBoard: An Explainable Leaderboard for NLP
Pengfei Liu, Jinlan Fu, Xiao Yang, et al.
(2021), pp. 280-289
Open Access | Times Cited: 30
Perturbation CheckLists for Evaluating NLG Evaluation Metrics
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 7219-7234
Open Access | Times Cited: 28
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation
Jian Guan, Zhuoer Feng, Yamei Chen, et al.
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 434-451
Open Access | Times Cited: 21
TRUE: Re-evaluating Factual Consistency Evaluation
Or Honovich, Roee Aharoni, Jonathan Herzig, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 21
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
Xudong Hong, Asad Sayeed, Khushboo Mehra, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 565-581
Open Access | Times Cited: 11
Finetuned Language Models Are Zero-Shot Learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
Control Prefixes for Parameter-Efficient Text Generation
Jordan Clive, Kris Cao, Marek Rei
(2022)
Open Access | Times Cited: 18
SwahBERT: Language Model of Swahili
Gati Martin, Medard Edmund Mswahili, Young-Seob Jeong, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 17
BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, et al.
(2023)
Open Access | Times Cited: 9
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
Tu Vu, Aditya Barua, Brian Lester, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 9279-9300
Open Access | Times Cited: 15
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, et al.
(2022), pp. 266-281
Open Access | Times Cited: 14
Multilingual Summarization with Factual Consistency Evaluation
Roee Aharoni, Shashi Narayan, Joshua Maynez, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 3562-3591
Open Access | Times Cited: 8
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg, Miruna Clinciu, Ondřej Dušek, et al.
(2021), pp. 140-153
Open Access | Times Cited: 19
Spurious Correlations in Reference-Free Evaluation of Text Generation
Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 1443-1454
Open Access | Times Cited: 12
On the Effectiveness of Pre-Trained Language Models for Legal Natural Language Processing: An Empirical Study
Dezhao Song, Sally Gao, Baosheng He, et al.
IEEE Access (2022) Vol. 10, pp. 75835-75858
Open Access | Times Cited: 12
MTG: A Benchmark Suite for Multilingual Text Generation
Yiran Chen, Zhenqiao Song, Xianze Wu, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 2508-2527
Open Access | Times Cited: 12
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
Sebastian Schuster, Tal Linzen
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 969-982
Open Access | Times Cited: 12
Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy
Daphne Ippolito, Florian Tramèr, Milad Nasr, et al.
(2023), pp. 28-53
Open Access | Times Cited: 7
Neural Methods for Data-to-text Generation
Mandar Sharma, Ajay Kumar Gogineni, Naren Ramakrishnan
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 5, pp. 1-46
Open Access | Times Cited: 2

Scroll to top