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:
Time Waits for No One! Analysis and Challenges of Temporal Misalignment
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, 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: 30
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, 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: 30
Showing 1-25 of 30 citing articles:
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.
(2022)
Open Access | Times Cited: 148
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.
(2022)
Open Access | Times Cited: 148
DEMix Layers: Disentangling Domains for Modular Language Modeling
Suchin Gururangan, Mike Lewis, Ari Holtzman, 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: 47
Suchin Gururangan, Mike Lewis, Ari Holtzman, 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: 47
Query Rewriting in Retrieval-Augmented Large Language Models
Xinbei Ma, Yeyun Gong, Pengcheng He, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 37
Xinbei Ma, Yeyun Gong, Pengcheng He, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 37
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Joel Jang, Seonghyeon Ye, Chang-Ho Lee, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 32
Joel Jang, Seonghyeon Ye, Chang-Ho Lee, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 32
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin, Dejiao Zhang, Henghui Zhu, 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: 26
Xisen Jin, Dejiao Zhang, Henghui Zhu, 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: 26
An Overview on Language Models: Recent Developments and Outlook
Chengwei Wei, Yun-Cheng Wang, Bin Wang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 14
Chengwei Wei, Yun-Cheng Wang, Bin Wang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 14
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, et al.
(2022), pp. 335-348
Open Access | Times Cited: 22
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, et al.
(2022), pp. 335-348
Open Access | Times Cited: 22
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin, Dejiao Zhang, Henghui Zhu, et al.
(2022), pp. 1-16
Open Access | Times Cited: 14
Xisen Jin, Dejiao Zhang, Henghui Zhu, et al.
(2022), pp. 1-16
Open Access | Times Cited: 14
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Zihan Zhang, Meng Fang, Ling Chen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 8
Zihan Zhang, Meng Fang, Ling Chen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 8
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
Shuheng Liu, Alan Ritter
(2023), pp. 8254-8271
Open Access | Times Cited: 7
Shuheng Liu, Alan Ritter
(2023), pp. 8254-8271
Open Access | Times Cited: 7
Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned
Sameera Horawalavithana, Ellyn Ayton, Shivam Sharma, et al.
(2022)
Open Access | Times Cited: 12
Sameera Horawalavithana, Ellyn Ayton, Shivam Sharma, et al.
(2022)
Open Access | Times Cited: 12
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change
Zhaochen Su, Zecheng Tang, Xinyan Guan, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 6380-6393
Open Access | Times Cited: 8
Zhaochen Su, Zecheng Tang, Xinyan Guan, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 6380-6393
Open Access | Times Cited: 8
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, et al.
(2023), pp. 12590-12607
Open Access | Times Cited: 4
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, et al.
(2023), pp. 12590-12607
Open Access | Times Cited: 4
Data Authenticity, Consent, and Provenance for AI Are All Broken: What Will It Take to Fix Them?
Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, et al.
(2024)
Open Access | Times Cited: 1
Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, et al.
(2024)
Open Access | Times Cited: 1
Exploring The Landscape of Distributional Robustness for Question Answering Models
Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, et al.
(2022), pp. 5971-5987
Open Access | Times Cited: 6
Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, et al.
(2022), pp. 5971-5987
Open Access | Times Cited: 6
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
Katerina Margatina, Shuai Wang, Yogarshi Vyas, et al.
(2023), pp. 2881-2898
Open Access | Times Cited: 3
Katerina Margatina, Shuai Wang, Yogarshi Vyas, et al.
(2023), pp. 2881-2898
Open Access | Times Cited: 3
Mitigating Temporal Misalignment by Discarding Outdated Facts
Michael Zhang, Eunsol Choi
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14213-14226
Open Access | Times Cited: 3
Michael Zhang, Eunsol Choi
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14213-14226
Open Access | Times Cited: 3
The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language Models
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
Lecture notes in computer science (2024), pp. 422-439
Closed Access
Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda
Lecture notes in computer science (2024), pp. 422-439
Closed Access
Boosting Classification Reliability of NLP Transformer Models in the Long Run—Challenges of Time in Opinion Prediction Regarding COVID-19 Vaccine
Zoltán Kmetty, Bence Kollányi, Krisztián Boros
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access
Zoltán Kmetty, Bence Kollányi, Krisztián Boros
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization
Chi Chiu Cheang, Hou Pong Chan, Derek F. Wong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16205-16217
Open Access | Times Cited: 1
Chi Chiu Cheang, Hou Pong Chan, Derek F. Wong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16205-16217
Open Access | Times Cited: 1
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams
Yuhao Wu, Karthick Sharma, Chun Wei Seah, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 1
Yuhao Wu, Karthick Sharma, Chun Wei Seah, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 1
Mixed-effects transformers for hierarchical adaptation
Julia White, Noah D. Goodman, Robert D. Hawkins
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 2
Julia White, Noah D. Goodman, Robert D. Hawkins
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 2
The challenges of temporal alignment on Twitter during crises
Aniket Pramanick, Tilman Beck, Kevin Stowe, et al.
(2022), pp. 2658-2672
Open Access | Times Cited: 1
Aniket Pramanick, Tilman Beck, Kevin Stowe, et al.
(2022), pp. 2658-2672
Open Access | Times Cited: 1
Learning Optimal Features via Partial Invariance
Moulik Choraria, Ibtihal Ferwana, Ankur Mani, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7175-7183
Open Access
Moulik Choraria, Ibtihal Ferwana, Ankur Mani, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7175-7183
Open Access
