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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:

Unsupervised Domain Clusters in Pretrained Language Models
Roee Aharoni, Yoav Goldberg
(2020), pp. 7747-7763
Open Access | Times Cited: 171

Showing 1-25 of 171 citing articles:

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, et al.
(2020)
Open Access | Times Cited: 1690
Neural Unsupervised Domain Adaptation in NLP—A Survey
Alan Ramponi, Barbara Plank
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 192
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel, 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: 191
OntoChat: A Framework for Conversational Ontology Engineering Using Language Models
Bohui Zhang, Valentina Anita Carriero, Katrin Schreiberhuber, et al.
Lecture notes in computer science (2025), pp. 102-121
Closed Access | Times Cited: 2
X-Class: Text Classification with Extremely Weak Supervision
Zihan Wang, Dheeraj Mekala, Jingbo Shang
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 57
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
Journal of Artificial Intelligence Research (2022) Vol. 75, pp. 351-424
Open Access | Times Cited: 47
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
In-context Examples Selection for Machine Translation
Sweta Agrawal, Chunting Zhou, Michael Lewis, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 30
Computational Language Modeling and the Promise of In Silico Experimentation
Shailee Jain, Vy A. Vo, Leila Wehbe, et al.
Neurobiology of Language (2023) Vol. 5, Iss. 1, pp. 80-106
Open Access | Times Cited: 28
PharmBERT: a domain-specific BERT model for drug labels
Taha ValizadehAslani, Yiwen Shi, Ping Ren, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 24
Neural Machine Translation with Monolingual Translation Memory
Deng Cai, Yan Wang, Huayang Li, et al.
(2021), pp. 7307-7318
Open Access | Times Cited: 48
Efficient Nearest Neighbor Language Models
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 5703-5714
Open Access | Times Cited: 47
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
Asahi Ushio, José Camacho-Collados
(2021)
Open Access | Times Cited: 45
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics
Zihan Zhang, Meng Fang, Ling Chen, 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: 38
AdaPrompt: Adaptive Model Training for Prompt-based NLP
Yulong Chen, Yang Liu, Dong Li, et al.
(2022), pp. 6057-6068
Open Access | Times Cited: 31
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi, Ananya Srivastava, Bhargav Yagnik, et al.
IEEE Access (2023) Vol. 11, pp. 23634-23646
Open Access | Times Cited: 18
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
Yifan Tang, Mostafa Rahmani Dehaghani, Pouyan Sajadi, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 7
Train No Evil: Selective Masking for Task-Guided Pre-Training
Yuxian Gu, Zhengyan Zhang, Xiaozhi Wang, et al.
(2020)
Open Access | Times Cited: 44
Nearest Neighbor Machine Translation
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, et al.
International Conference on Learning Representations (2021)
Closed Access | Times Cited: 36
DECN: Dialogical emotion correction network for conversational emotion recognition
Zheng Lian, Bin Liu, Jianhua Tao
Neurocomputing (2021) Vol. 454, pp. 483-495
Closed Access | Times Cited: 34
Fast Nearest Neighbor Machine Translation
Yuxian Meng, Xiaoya Li, Xiayu Zheng, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 555-565
Open Access | Times Cited: 24
(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models’ Performance
Omer Goldman, David Guriel, Reut Tsarfaty
(2022), pp. 864-870
Open Access | Times Cited: 22
Efficient Hierarchical Domain Adaptation for Pretrained Language Models
Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 22
Dynamic Invariant-Specific Representation Fusion Network for Multimodal Sentiment Analysis
Jing He, Haonan Yanga, Changfan Zhang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 20
Prompting Neural Machine Translation with Translation Memories
Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13519-13527
Open Access | Times Cited: 12
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