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:
Text Rendering Strategies for Pixel Language Models
Jonas F. Lotz, Elizabeth Salesky, Phillip Rust, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10155-10172
Open Access | Times Cited: 3
Jonas F. Lotz, Elizabeth Salesky, Phillip Rust, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10155-10172
Open Access | Times Cited: 3
Showing 3 citing articles:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Jong Cheol Park, Mathieu Emily, Niranjan Balasubramanian, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 226
Jong Cheol Park, Mathieu Emily, Niranjan Balasubramanian, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 226
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10728-10752
Open Access | Times Cited: 2
Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10728-10752
Open Access | Times Cited: 2
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer
Elizabeth Salesky, Neha Verma, Philipp Koehn, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 13845-13861
Open Access
Elizabeth Salesky, Neha Verma, Philipp Koehn, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 13845-13861
Open Access
