Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Retrieval Enhanced Model for Commonsense Generation
Han Wang, Yang Liu, Chenguang Zhu, et al.
(2021), pp. 3056-3062
Open Access | Times Cited: 22

Showing 22 citing articles:

A Survey of Knowledge-enhanced Text Generation
Wenhao Yu, Chenguang Zhu, Zaitang Li, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 11s, pp. 1-38
Open Access | Times Cited: 180
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Donghan Yu, Chenguang Zhu, Yiming Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 10, pp. 11630-11638
Open Access | Times Cited: 83
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.
(2023)
Open Access | Times Cited: 23
Knowledge-Augmented Methods for Natural Language Processing
Chenguang Zhu, Xu Yi‐chong, Xiang Ren, et al.
(2022)
Open Access | Times Cited: 7
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 4364-4377
Open Access | Times Cited: 7
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning
Xingwei He, Yeyun Gong, A-Long Jin, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 839-852
Open Access | Times Cited: 7
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Steven Y. Feng, Kevin Lü, Zhuofu Tao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 10, pp. 10618-10626
Open Access | Times Cited: 6
Expository Text Generation: Imitate, Retrieve, Paraphrase
Nishant Balepur, Jie Huang, Kevin Chen–Chuan Chang
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11896-11919
Open Access | Times Cited: 3
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation
Xin Liu, Dayiheng Liu, Baosong Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 10, pp. 11029-11037
Open Access | Times Cited: 4
A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation
Jaehyung Seo, Seounghoon Lee, Chanjun Park, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 4
Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation
Haoran Yang, Yan Wang, Piji Li, et al.
(2023), pp. 376-383
Open Access | Times Cited: 2
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, et al.
(2023), pp. 6373-6384
Open Access | Times Cited: 2
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts

(2022)
Open Access | Times Cited: 3
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer
Rachit Bansal, Milan Aggarwal, Sumit Bhatia, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 1128-1143
Open Access | Times Cited: 3
A Chinese Short Text Similarity Method Integrating Sentence-Level and Phrase-Level Semantics
Zaichen Shen, Zhiyong Xiao
Electronics (2024) Vol. 13, Iss. 24, pp. 4868-4868
Open Access
End-to-end hard constrained text generation via incrementally predicting segments
Jinran Nie, Xuancheng Huang, Yang Liu, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110886-110886
Closed Access | Times Cited: 1
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach
Chao Zhao, Faeze Brahman, Tenghao Huang, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 1709-1718
Open Access | Times Cited: 2
Identifying relevant common sense information in knowledge graphs
Guy Aglionby, Simone Teufel
(2022), pp. 1-7
Open Access | Times Cited: 2
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
Steven Y. Feng, Jessica Huynh, Chaitanya Narisetty, et al.
(2021), pp. 212-225
Open Access | Times Cited: 1
rT5: A Retrieval-Augmented Pre-trained Model for Ancient Chinese Entity Description Generation
Mengting Hu, Xiaoqun Zhao, Jiaqi Wei, et al.
Lecture notes in computer science (2023), pp. 736-748
Closed Access
VER: Unifying Verbalizing Entities and Relations
Jie Huang, Kevin Chen–Chuan Chang
(2023), pp. 15700-15710
Open Access
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Steven Y. Feng, Kevin Lü, Zhuofu Tao, et al.
arXiv (Cornell University) (2021)
Closed Access
Page 1

Scroll to top