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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:

Experience Grounds Language
Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.
(2020)
Open Access | Times Cited: 219

Showing 1-25 of 219 citing articles:

Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Emily M. Bender, Alexander Koller
(2020)
Open Access | Times Cited: 711
Recipes for Building an Open-Domain Chatbot
Stephen Roller, Emily Dinan, Naman Goyal, et al.
(2021)
Open Access | Times Cited: 585
Deep Learning applications for COVID-19
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 306
Should ChatGPT be biased? Challenges and risks of bias in large language models
Emilio Ferrara
First Monday (2023)
Open Access | Times Cited: 132
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal, Matthew Riemer, Irina Rish, et al.
Journal of Artificial Intelligence Research (2022) Vol. 75, pp. 1401-1476
Open Access | Times Cited: 113
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
Anna Rogers, Matt Gardner, Isabelle Augenstein
ACM Computing Surveys (2022) Vol. 55, Iss. 10, pp. 1-45
Open Access | Times Cited: 113
The Importance of Modeling Social Factors of Language: Theory and Practice
Dirk Hovy, Diyi Yang
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 105
ConceptFusion: Open-set multimodal 3D mapping
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, et al.
(2023)
Open Access | Times Cited: 82
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment
Jianwei Yang, Yonatan Bisk, Jianfeng Gao
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 11542-11552
Open Access | Times Cited: 86
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman, George E. Dahl
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 84
The neural architecture of language: Integrative modeling converges on predictive processing
Martin Schrimpf, Idan Blank, Greta Tuckute, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 77
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models
James L. McClelland, Felix Hill, Maja Rudolph, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 42, pp. 25966-25974
Open Access | Times Cited: 74
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
Hao Tan, Mohit Bansal
(2020)
Open Access | Times Cited: 74
HONEST: Measuring Hurtful Sentence Completion in Language Models
Debora Nozza, Federico Bianchi, Dirk Hovy
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 72
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover
Leon Fröhling, Arkaitz Zubiaga
PeerJ Computer Science (2021) Vol. 7, pp. e443-e443
Open Access | Times Cited: 68
Deep language algorithms predict semantic comprehension from brain activity
Charlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 68
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis
Saif M. Mohammad
Computational Linguistics (2022) Vol. 48, Iss. 2, pp. 239-278
Open Access | Times Cited: 67
TEACh: Task-Driven Embodied Agents That Chat
Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 2017-2025
Open Access | Times Cited: 65
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs
Maarten Sap, Ronan Le Bras, Daniel Fried, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 65
Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling
Dan R. Johnson, James C. Kaufman, Brendan S. Baker, et al.
Behavior Research Methods (2022) Vol. 55, Iss. 7, pp. 3726-3759
Open Access | Times Cited: 58
Language Models as Agent Models
Jacob Andreas
(2022)
Open Access | Times Cited: 51
WebQA: Multihop and Multimodal QA
Yingshan Chang, Guihong Cao, Mridu Narang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16474-16483
Open Access | Times Cited: 39
Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely
Carina Kauf, Anna A. Ivanova, Giulia Rambelli, et al.
Cognitive Science (2023) Vol. 47, Iss. 11
Open Access | Times Cited: 33
Grounding Language with Visual Affordances over Unstructured Data
Oier Mees, Jessica Borja-Diaz, Wolfram Burgard
(2023), pp. 11576-11582
Open Access | Times Cited: 31
A fine-grained comparison of pragmatic language understanding in humans and language models
Jennifer J. Hu, Sammy Floyd, Olessia Jouravlev, et al.
(2023)
Open Access | Times Cited: 29
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