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:

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, José Camacho-Collados, Luis Espinosa-Anke, et al.
(2020)
Open Access | Times Cited: 461

Showing 1-25 of 461 citing articles:

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: 378
HateBERT: Retraining BERT for Abusive Language Detection in English
Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.
(2021)
Open Access | Times Cited: 162
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.
(2022)
Open Access | Times Cited: 148
A review on sentiment analysis from social media platforms
Margarita Rodríguez-Ibáñez, Antonio Casánez-Ventura, Félix Castejón-Mateos, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119862-119862
Open Access | Times Cited: 122
GPT is an effective tool for multilingual psychological text analysis
Steve Rathje, Dan-Mircea Mirea, Ilia Sucholutsky, et al.
(2023)
Open Access | Times Cited: 109
RWKV: Reinventing RNNs for the Transformer Era
Bo Peng, Eric Alcaide, Quentin Anthony, et al.
(2023)
Open Access | Times Cited: 93
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding, Yujia Qin, Guang Yang, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 88
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: 77
ChatGPT in education: a discourse analysis of worries and concerns on social media
Lingyao Li, Zihui Ma, Lizhou Fan, et al.
Education and Information Technologies (2023) Vol. 29, Iss. 9, pp. 10729-10762
Closed Access | Times Cited: 73
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Shangbin Feng, Chan Young Park, Yuhan Liu, et al.
(2023)
Open Access | Times Cited: 61
Demystifying Prompts in Language Models via Perplexity Estimation
Hila Gonen, Srini Iyer, Terra Blevins, et al.
(2023)
Open Access | Times Cited: 60
End-to-End Transformer-Based Models in Textual-Based NLP
Abir Rahali, Moulay A. Akhloufi
AI (2023) Vol. 4, Iss. 1, pp. 54-110
Open Access | Times Cited: 56
A Holistic Approach to Undesired Content Detection in the Real World
Todor Markov, Chong Zhang, Sandhini Agarwal, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 15009-15018
Open Access | Times Cited: 51
GPT is an effective tool for multilingual psychological text analysis
Steve Rathje, Dan-Mircea Mirea, Ilia Sucholutsky, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 34
Open Access | Times Cited: 50
Chatgpt: Jack of All Trades, Master of None
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca, et al.
(2023)
Open Access | Times Cited: 48
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 93
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong, Kristy Lee, Zheng Zhang, et al.
(2021)
Open Access | Times Cited: 86
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, et al.
(2022)
Open Access | Times Cited: 60
On Transferability of Prompt Tuning for Natural Language Processing
Yusheng Su, Xiaozhi Wang, Yujia Qin, 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: 43
A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data
Juan Antonio Lossio-Ventura, Rachel Weger, Angela Y. Lee, et al.
JMIR Mental Health (2023) Vol. 11, pp. e50150-e50150
Open Access | Times Cited: 28
Twitter Hate Speech Detection: A Systematic Review of Methods, Taxonomy Analysis, Challenges, and Opportunities
Zainab Mansur, Nazlia Omar, Sabrina Tiun
IEEE Access (2023) Vol. 11, pp. 16226-16249
Open Access | Times Cited: 26
On the rise of fear speech in online social media
Punyajoy Saha, Kiran Garimella, Narla Komal Kalyan, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 11
Open Access | Times Cited: 25
Emotion detection for misinformation: A review
Zhiwei Liu, Tianlin Zhang, Kailai Yang, et al.
Information Fusion (2024) Vol. 107, pp. 102300-102300
Open Access | Times Cited: 9
Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations
Ratanond Koonchanok, Yanling Pan, Hyeju Jang
Research Square (Research Square) (2024)
Open Access | Times Cited: 9
HateBERT: Retraining BERT for Abusive Language Detection in English
Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 54
Page 1 - Next Page

Scroll to top