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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:

Pareto Probing: Trading Off Accuracy for Complexity
Tiago Pimentel, Naomi Saphra, Adina Williams, et al.
(2020), pp. 3138-3153
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 161
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
Computational Linguistics (2021) Vol. 48, Iss. 1, pp. 207-219
Open Access | Times Cited: 135
Implicit Representations of Meaning in Neural Language Models
Belinda Z. Li, Maxwell Nye, Jacob Andreas
(2021), pp. 1813-1827
Open Access | Times Cited: 63
Word Order Does Matter and Shuffled Language Models Know It
Mostafa Abdou, Vinit Ravishankar, Artur Kulmizev, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 6907-6919
Open Access | Times Cited: 21
Probing BERT for Ranking Abilities
Jonas Wallat, Fabian Beringer, Abhijit Anand, et al.
Lecture notes in computer science (2023), pp. 255-273
Closed Access | Times Cited: 10
Emergent Linear Representations in World Models of Self-Supervised Sequence Models
Neel Nanda, Andrew Lee, Martin Wattenberg
(2023)
Open Access | Times Cited: 10
Conditional probing: measuring usable information beyond a baseline
John Hewitt, Kawin Ethayarajh, Percy Liang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 1626-1639
Open Access | Times Cited: 23
DirectProbe: Studying Representations without Classifiers
Yichu Zhou, Vivek Srikumar
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 19
Understanding Large Language Models : Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation
Jenny Kunz
Linköping studies in science and technology. Dissertations (2024)
Open Access | Times Cited: 2
Low-Complexity Probing via Finding Subnetworks
Steven Cao, Victor Sanh, Alexander M. Rush
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 960-966
Open Access | Times Cited: 16
Probing as Quantifying Inductive Bias
Alexander Immer, Lucas Torroba Hennigen, Vincent Fortuin, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 11
A Non-Linear Structural Probe
Jennifer C. White, Tiago Pimentel, Naomi Saphra, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 15
A Bayesian Framework for Information-Theoretic Probing
Tiago Pimentel, Ryan Cotterell
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 2869-2887
Open Access | Times Cited: 14
The Low-Dimensional Linear Geometry of Contextualized Word Representations
Evan Hernandez, Jacob Andreas
(2021)
Open Access | Times Cited: 13
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network
Verna Dankers, Anna Langedijk, Kate McCurdy, et al.
(2021), pp. 94-108
Open Access | Times Cited: 13
Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement
Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 18-33
Open Access | Times Cited: 5
Probing via Prompting
Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 1144-1157
Open Access | Times Cited: 7
Introducing Orthogonal Constraint in Structural Probes
Tomasz Limisiewicz, David Mareček
(2021), pp. 428-442
Open Access | Times Cited: 9
Decomposing Natural Logic Inferences for Neural NLI
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.
(2022), pp. 394-403
Open Access | Times Cited: 5
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach
Yifan Hou, Mrinmaya Sachan
(2021), pp. 1844-1859
Open Access | Times Cited: 7
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 6
A multilabel approach to morphosyntactic probing
Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert‐Threlkeld
(2021), pp. 4486-4524
Open Access | Times Cited: 6
Naturalistic Causal Probing for Morpho-Syntax
Afra Amini, Tiago Pimentel, Clara Meister, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 384-403
Open Access | Times Cited: 2
On the data requirements of probing
Zining Zhu, Jixuan Wang, Bai Li, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 4132-4147
Open Access | Times Cited: 4
Implicit Representations of Meaning in Neural Language Models
Belinda Z. Li, Maxwell Nye, Jacob Andreas
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
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