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:

Where to start? Analyzing the potential value of intermediate models
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1446-1470
Open Access | Times Cited: 7

Showing 7 citing articles:

How Different is Stereotypical Bias Across Languages?
Ibrahim Tolga Öztürk, Rostislav Nedelchev, Christian Heumann, et al.
Communications in computer and information science (2025), pp. 209-229
Closed Access

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, et al.
(2023), pp. 788-806
Open Access | Times Cited: 8

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification
Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, et al.
(2024), pp. 18-27
Open Access | Times Cited: 2

Knowledge is a Region in Weight Space for Fine-tuned Language Models
Almog Gueta, Elad Venezian, Colin Raffel, et al.
(2023), pp. 1350-1370
Open Access | Times Cited: 4

On the instability of further pre-training: Does a single sentence matter to BERT?
Luca Bacco, Gosse Minnema, Tommaso Caselli, et al.
Natural Language Processing Journal (2023) Vol. 5, pp. 100037-100037
Open Access | Times Cited: 3

NormNet: Normalize Noun Phrases for More Robust NLP
Minlong Peng, Mingming Sun
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 2171-2183
Open Access

MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection
Amanda Cercas Curry, Giuseppe Attanasio, Debora Nozza, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 2067-2074
Open Access

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