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:
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data
Han Guo, Bowen Tan, Zhengzhong Liu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13
Han Guo, Bowen Tan, Zhengzhong Liu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13
Showing 13 citing articles:
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 79
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 79
Prompt Tuning in Biomedical Relation Extraction
Jianping He, Fang Li, Jianfu Li, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 2, pp. 206-224
Closed Access | Times Cited: 11
Jianping He, Fang Li, Jianfu Li, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 2, pp. 206-224
Closed Access | Times Cited: 11
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering
Jiacheng Liu, Skyler Hallinan, Ximing Lu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 8938-8958
Open Access | Times Cited: 27
Jiacheng Liu, Skyler Hallinan, Ximing Lu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 8938-8958
Open Access | Times Cited: 27
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Han Wang, Canwen Xu, Julian McAuley
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 5483-5492
Open Access | Times Cited: 11
Han Wang, Canwen Xu, Julian McAuley
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 5483-5492
Open Access | Times Cited: 11
CPL: Counterfactual Prompt Learning for Vision and Language Models
Xuehai He, Diji Yang, Weixi Feng, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 3407-3418
Open Access | Times Cited: 9
Xuehai He, Diji Yang, Weixi Feng, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 3407-3418
Open Access | Times Cited: 9
Improving Controllable Text Generation with Position-Aware Weighted Decoding
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3449-3467
Open Access | Times Cited: 8
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3449-3467
Open Access | Times Cited: 8
Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
Guangyi Liu, Zichao Yang, Tianhua Tao, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 2055-2078
Open Access | Times Cited: 7
Guangyi Liu, Zichao Yang, Tianhua Tao, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 2055-2078
Open Access | Times Cited: 7
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning
Hyeonmin Ha, Soyoung Jung, Jinsol Park, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 3335-3350
Open Access | Times Cited: 1
Hyeonmin Ha, Soyoung Jung, Jinsol Park, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 3335-3350
Open Access | Times Cited: 1
Interactive Machine Comprehension with Dynamic Knowledge Graphs
Xingdi Yuan
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 6734-6750
Open Access | Times Cited: 1
Xingdi Yuan
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 6734-6750
Open Access | Times Cited: 1
Interactive Machine Comprehension with Dynamic Knowledge Graphs
Xingdi Yuan
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Xingdi Yuan
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Triplet-Free Knowledge-Guided Response Generation
Dongming Li, Jianfeng Liu, Baoyuan Wang
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 12881-12899
Open Access
Dongming Li, Jianfeng Liu, Baoyuan Wang
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 12881-12899
Open Access
Improving Neural Machine Translation with Offline Evaluations
Minkyung Park, Byung-Jun Lee
(2023), pp. 385-397
Open Access
Minkyung Park, Byung-Jun Lee
(2023), pp. 385-397
Open Access
Improving Dialogue Act Recognition with Augmented Data
Khyati Mahajan, Soham Parikh, Quaizar Vohra, et al.
(2022), pp. 471-479
Open Access
Khyati Mahajan, Soham Parikh, Quaizar Vohra, et al.
(2022), pp. 471-479
Open Access
