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:
Evaluating Models’ Local Decision Boundaries via Contrast Sets
Matt Gardner, Yoav Artzi, Victoria Basmov, et al.
(2020)
Open Access | Times Cited: 274
Matt Gardner, Yoav Artzi, Victoria Basmov, et al.
(2020)
Open Access | Times Cited: 274
Showing 1-25 of 274 citing articles:
UNIFIEDQA: Crossing Format Boundaries with a Single QA System
Daniel Khashabi, Sewon Min, Tushar Khot, et al.
(2020)
Open Access | Times Cited: 442
Daniel Khashabi, Sewon Min, Tushar Khot, et al.
(2020)
Open Access | Times Cited: 442
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, et al.
Patterns (2021) Vol. 2, Iss. 11, pp. 100336-100336
Open Access | Times Cited: 371
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, et al.
Patterns (2021) Vol. 2, Iss. 11, pp. 100336-100336
Open Access | Times Cited: 371
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela, Max Bartolo, Yixin Nie, 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: 181
Douwe Kiela, Max Bartolo, Yixin Nie, 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: 181
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.
(2021)
Open Access | Times Cited: 143
Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.
(2021)
Open Access | Times Cited: 143
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder, Katherine A. Keith, Emaad Manzoor, et al.
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 1138-1158
Open Access | Times Cited: 143
Amir Feder, Katherine A. Keith, Emaad Manzoor, et al.
Transactions of the Association for Computational Linguistics (2022) Vol. 10, pp. 1138-1158
Open Access | Times Cited: 143
Deep Learning for Text Style Transfer: A Survey
Di Jin, Zhijing Jin, Zhiting Hu, et al.
Computational Linguistics (2021) Vol. 48, Iss. 1, pp. 155-205
Open Access | Times Cited: 137
Di Jin, Zhijing Jin, Zhiting Hu, et al.
Computational Linguistics (2021) Vol. 48, Iss. 1, pp. 155-205
Open Access | Times Cited: 137
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, et al.
(2021)
Open Access | Times Cited: 129
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, et al.
(2021)
Open Access | Times Cited: 129
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Nygaard Madsen, Siva Reddy, Sarath Chandar
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-42
Open Access | Times Cited: 125
Andreas Nygaard Madsen, Siva Reddy, Sarath Chandar
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-42
Open Access | Times Cited: 125
Are NLP Models really able to Solve Simple Math Word Problems?
Arkil Patel, Satwik Bhattamishra, Navin Goyal
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 117
Arkil Patel, Satwik Bhattamishra, Navin Goyal
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 117
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: 113
Anna Rogers, Matt Gardner, Isabelle Augenstein
ACM Computing Surveys (2022) Vol. 55, Iss. 10, pp. 1-45
Open Access | Times Cited: 113
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu, Marianna Apidianaki, Chris Callison-Burch
Computational Linguistics (2024) Vol. 50, Iss. 2, pp. 657-723
Open Access | Times Cited: 20
Qing Lyu, Marianna Apidianaki, Chris Callison-Burch
Computational Linguistics (2024) Vol. 50, Iss. 2, pp. 657-723
Open Access | Times Cited: 20
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Tal Schuster, Adam Fisch, Regina Barzilay
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 100
Tal Schuster, Adam Fisch, Regina Barzilay
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 100
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Amir Feder, Nadav Oved, Uri Shalit, et al.
Computational Linguistics (2021), pp. 1-54
Open Access | Times Cited: 97
Amir Feder, Nadav Oved, Uri Shalit, et al.
Computational Linguistics (2021), pp. 1-54
Open Access | Times Cited: 97
Active Learning by Acquiring Contrastive Examples
Katerina Margatina, Giorgos Vernikos, Loïc Barrault, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 93
Katerina Margatina, Giorgos Vernikos, Loïc Barrault, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 93
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs
Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 978-994
Open Access | Times Cited: 88
Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 978-994
Open Access | Times Cited: 88
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman, George E. Dahl
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 84
Samuel R. Bowman, George E. Dahl
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 84
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
Ning Qiang, Hao Wu, Rujun Han, et al.
(2020), pp. 1158-1172
Open Access | Times Cited: 81
Ning Qiang, Hao Wu, Rujun Han, et al.
(2020), pp. 1158-1172
Open Access | Times Cited: 81
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross, Ana Marasović, Matthew E. Peters
(2021)
Open Access | Times Cited: 78
Alexis Ross, Ana Marasović, Matthew E. Peters
(2021)
Open Access | Times Cited: 78
Concealed Data Poisoning Attacks on NLP Models
Eric Wallace, Tony Z. Zhao, Shi Feng, 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: 77
Eric Wallace, Tony Z. Zhao, Shi Feng, 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: 77
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang, Ning Ding, Piji Li, et al.
(2021)
Open Access | Times Cited: 76
Dong Wang, Ning Ding, Piji Li, et al.
(2021)
Open Access | Times Cited: 76
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Sihao Chen, Fan Zhang, Kazoo Sone, 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: 66
Sihao Chen, Fan Zhang, Kazoo Sone, 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: 66
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner, William Merrill, Jesse Dodge, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 65
Matt Gardner, William Merrill, Jesse Dodge, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 65
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang, Haohan Wang, Diyi Yang
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 65
Xuezhi Wang, Haohan Wang, Diyi Yang
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 65
Teach Me to Explain: A Review of Datasets for Explainable NLP.
Sarah Wiegreffe, Ana Marasović
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 63
Sarah Wiegreffe, Ana Marasović
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 63
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar, Soohyeon Choi, DaeHun Nyang, et al.
IEEE Access (2022) Vol. 10, pp. 86038-86056
Open Access | Times Cited: 62
Marwan Omar, Soohyeon Choi, DaeHun Nyang, et al.
IEEE Access (2022) Vol. 10, pp. 86038-86056
Open Access | Times Cited: 62
