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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:

GNN-LM: Language Modeling based on Global Contexts via GNN
Yuxian Meng, Shi Zong, Xiaoya Li, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15

Showing 15 citing articles:

MeaCap: Memory-Augmented Zero-shot Image Captioning
Zequn Zeng, Yan Xie, Hao Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 14100-14110
Closed Access | Times Cited: 9
Training Language Models with Memory Augmentation
Zexuan Zhong, Tao Lei, Danqi Chen
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 37
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
Ze Tang, Jidong Ge, Shangqing Liu, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023), pp. 421-433
Open Access | Times Cited: 10
GNN-transformer contrastive learning explores homophily
Yangding Li, Yangyang Zeng, Xiaoyang Zhao, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104103-104103
Closed Access
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
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
Shuhe Wang, Yuxian Meng, Rongbin Ouyang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 12679-12692
Open Access | Times Cited: 5
Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation
Guoxin Yu, Lemao Liu, Haiyun Jiang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 4914-4927
Open Access | Times Cited: 4
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
Xiaolong Fan, Maoguo Gong, Yue Wu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 11919-11926
Open Access | Times Cited: 1
Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases
Libo Qin, Zhouyang Li, Qiying Yu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13483-13491
Open Access | Times Cited: 3
You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM
Andrew Drozdov, Shufan Wang, Razieh Rahimi, et al.
(2022), pp. 2997-3007
Open Access | Times Cited: 4
Towards trustworthy recommenders: building explainable and unbiased recommendation systems
Yidan Hu
(2024)
Open Access
Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction
Zhen Wan, Qianying Liu, Zhuoyuan Mao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 1731-1738
Open Access | Times Cited: 2
Predicting Numerals in Text Using Nearest Neighbor Language Models
Taku Sakamoto, Akiko Aizawa
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 4795-4809
Open Access
Dynamic Open-book Prompt for Conversational Recommender System
Xuan Ma, Tieyun Qian, Ke Sun
(2023), pp. 9839-9849
Open Access
Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents
Pawan Rajpoot, Ankur P. Parikh
(2023), pp. 1-5
Open Access
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