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:
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 195
Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 195
Showing 1-25 of 195 citing articles:
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-40
Open Access | Times Cited: 600
Bonan Min, Hayley Ross, Elior Sulem, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-40
Open Access | Times Cited: 600
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, Alexei A. Efros
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18392-18402
Open Access | Times Cited: 566
Tim Brooks, Aleksander Holynski, Alexei A. Efros
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18392-18402
Open Access | Times Cited: 566
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 394
Sewon Min, Xinxi Lyu, Ari Holtzman, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 394
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yi‐Zhong Wang, Yeganeh Kordi, Swaroop Mishra, et al.
(2023)
Open Access | Times Cited: 268
Yi‐Zhong Wang, Yeganeh Kordi, Swaroop Mishra, et al.
(2023)
Open Access | Times Cited: 268
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Tongshuang Wu, Michael Terry, Carrie J. Cai
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-22
Open Access | Times Cited: 238
Tongshuang Wu, Michael Terry, Carrie J. Cai
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-22
Open Access | Times Cited: 238
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 162
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 162
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT
Ce Zhou, Qian Li, Chen Li, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 128
Ce Zhou, Qian Li, Chen Li, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 128
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen Bach, Victor Sanh, Zheng Yong, et al.
(2022)
Open Access | Times Cited: 125
Stephen Bach, Victor Sanh, Zheng Yong, et al.
(2022)
Open Access | Times Cited: 125
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Süzgün, Nathan Scales, Nathanael Schärli, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 106
Mirac Süzgün, Nathan Scales, Nathanael Schärli, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 106
Can language models learn from explanations in context?
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, et al.
(2022)
Open Access | Times Cited: 86
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, et al.
(2022)
Open Access | Times Cited: 86
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: 82
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: 82
MetaICL: Learning to Learn In Context
Sewon Min, Mike Lewis, Luke Zettlemoyer, 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: 79
Sewon Min, Mike Lewis, Luke Zettlemoyer, 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: 79
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su, Weijia Shi, Jungo Kasai, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 70
Hongjin Su, Weijia Shi, Jungo Kasai, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 70
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich, Thomas Scialom, Omer Levy, et al.
(2023)
Open Access | Times Cited: 54
Or Honovich, Thomas Scialom, Omer Levy, et al.
(2023)
Open Access | Times Cited: 54
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 50
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 50
MEGA: Multilingual Evaluation of Generative AI
Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 50
Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 50
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Archiki Prasad, Peter Hase, Xiang Zhou, et al.
(2023)
Open Access | Times Cited: 44
Archiki Prasad, Peter Hase, Xiang Zhou, et al.
(2023)
Open Access | Times Cited: 44
Larger and more instructable language models become less reliable
Lexin Zhou, Wout Schellaert, Fernando Martínez‐Plumed, et al.
Nature (2024) Vol. 634, Iss. 8032, pp. 61-68
Open Access | Times Cited: 33
Lexin Zhou, Wout Schellaert, Fernando Martínez‐Plumed, et al.
Nature (2024) Vol. 634, Iss. 8032, pp. 61-68
Open Access | Times Cited: 33
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lù, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 681-699
Open Access | Times Cited: 28
Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lù, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 681-699
Open Access | Times Cited: 28
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
Daniel Kang, Xuechen Li, Ion Stoica, et al.
(2024), pp. 132-143
Open Access | Times Cited: 27
Daniel Kang, Xuechen Li, Ion Stoica, et al.
(2024), pp. 132-143
Open Access | Times Cited: 27
State of What Art? A Call for Multi-Prompt LLM Evaluation
Moran Mizrahi, Guy Kaplan, Dan Malkin, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 933-949
Open Access | Times Cited: 23
Moran Mizrahi, Guy Kaplan, Dan Malkin, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 933-949
Open Access | Times Cited: 23
Datasets for Large Language Models: A Comprehensive Survey
Yang Liu, Jiahuan Cao, Chongyu Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 22
Yang Liu, Jiahuan Cao, Chongyu Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 22
Towards Building The Federatedgpt: Federated Instruction Tuning
Jianyi Zhang, Saeed Vahidian, Martin Kuo, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6915-6919
Open Access | Times Cited: 21
Jianyi Zhang, Saeed Vahidian, Martin Kuo, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6915-6919
Open Access | Times Cited: 21
Multi-Task Learning in Natural Language Processing: An Overview
Shijie Chen, Yu Zhang, Qiang Yang
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-32
Open Access | Times Cited: 18
Shijie Chen, Yu Zhang, Qiang Yang
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-32
Open Access | Times Cited: 18
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng, Shengjie Qiu, Chengming Shi, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 2
Junhao Zheng, Shengjie Qiu, Chengming Shi, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 2
