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Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future.
Studying the Evolution of Scientific Topics and their Relationships
Ana Sabina Uban, Cornelia Caragea, and Liviu P. Dinu. 2021 · 1922
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A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field, Su Lin Blodgett, Zeerak Waseem, and Yulia Tsvetkov. 2021 · 1925
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The Structure of Scientific Revolutions
Thomas Kuhn. 1962 · 1962
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Information extraction from scientific articles: A survey
Zara Nasar, Syed Waqar Jaffry, and Muhammad Kamran Malik. 2018 · 1990
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Scholarly communication and bibliometrics
Christine L. Borgman and Jonathan Furner. 2002 · 2002
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Studying the History of Ideas Using Topic Models
David Hall, Daniel Jurafsky, and Christopher D. Manning. 2008 · 2008
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GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications
Patrice Lopez. 2009 · 2009
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Towards a Computational History of the ACL: 1980-2008
Ashton Anderson, Dan Jurafsky, and Daniel A. McFarland. 2012 · 2012
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New Methods for Metadata Extraction from Scientific Literature
Dominika Tkaczyk. 2017 · 2017
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Science of science
Santo Fortunato, Carl T. Bergstrom, Katy Bö\parrner, James A. Evans, Dirk Helbing, Staš\para Milojević\par, Alexander M. Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, Alessandro Vespignani, Ludo Waltman, Dashun Wang, and Albert-Lá\parszló\parBarabá\parsi. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Show Your Work: Improved Reporting of Experimental Results
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, and Noah A. Smith. 2019 · 2019
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The State of NLP Literature: A Diachronic Analysis of the ACL Anthology
Saif M. Mohammad. 2019 · 2019
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Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé\par III, and Hanna Wallach. 2020 · 2020
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Leveraging ML to Fuel New Discoveries with the arXiv Dataset
Team Kaggle. 2020 · 2020
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, and James Melville. 2020 · 2020
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Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Suzanna Sia, Ayush Dalmia, and Sabrina J. Mielke. 2020 · 2020
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Topic Modeling with Contextualized Word Representation Clusters
Laure Thompson and David Mimno. 2020 · 2020
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How to benchmark against a subject area
Stacy Konkiel. 2021 · 2021
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Mitigating dataset harms requires stewardship: Lessons from 1000 papers
Kenneth Peng, Arunesh Mathur, and Arvind Narayanan. 2021 · 2021
Cited alongside, same era.
The Values Encoded in Machine Learning Research
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, and Michelle Bao. 2022 · 2022
Cited alongside, same era.
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Maarten Grootendorst. 2022 · 2022
Cited alongside, same era.
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, and Samuel R. Bowman. 2022 · 2022
Cited alongside, same era.
Foundation Models and Fair Use
Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, and Percy Liang. 2023 · 2023
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REFORMS: Reporting Standards for Machine Learning Based Science
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, and Arvind Narayanan. 2023 · 2023
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ChatGPT for good? On opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Sessler, Stefan Kü\parchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Gü\parnnemann, Eyke Hü\parllermeier, Stepha Krusche, Gitta Kutyniok, Tilman Michaeli, Claudia Nerdel, Jü\parrgen Pfeffer, Oleksandra Poquet, Michael Sailer, Albrecht Schmidt, Tina Seidel, Matthias Stadler, Jochen Weller, Jochen Kuhn, and Gjergji Kasneci. 2023 · 2023
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The Semantic Scholar Open Data Platform
Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine Van Zuylen, and Daniel S. Weld. 2023 · 2023
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Mukund Rungta, Janvijay Singh, Saif M. Mohammad, and Diyi Yang. 2022 · 2022
Cited alongside, same era.
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics
Zihan Zhang, Meng Fang, Ling Chen, and Mohammad Reza Namazi Rad. 2022 · 2022
Cited alongside, same era.
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
Mohamed Abdalla, Jan Philip Wahle, Terry Ruas, Auré\parlie Né\parvé\parol, Fanny Ducel, Saif M. Mohammad, and Karë\parn Fort. 2023 · 2023
Cited alongside, same era.
The Foundation Model Transparency Index
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, and Percy Liang. 2023 · 2023
Cited alongside, same era.
Students’ Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education
Cecilia Ka Yuk Chan and Wenjie Hu. 2023 · 2023
Cited alongside, same era.
AI Is Winning the AI Race
Mariano-Florentino Cué\parllar and Matt Sheehan. 2023 · 2023
Cited alongside, same era.
Uncovering ChatGPT’s Capabilities in Recommender Systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, and Jun Xu. 2023 · 2023
Cited alongside, same era.
Assessing Language Model Deployment with Risk Cards
Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, and Saif Mohammad. 2023 · 2023
Cited alongside, same era.
Closest in time.
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research
Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rü\parcklé\par, Iryna Gurevych, Roy Schwartz, Emma Strubell, and Jesse Dodge. 2023 · 2023
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The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination
Zihao Li. 2023 · 2023
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Reproducibility in NLP: What Have We Learned from the Checklist?
Ian Magnusson, Noah A. Smith, and Jesse Dodge. 2023 · 2023
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Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, and Pan Hui. 2023 · 2023
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Evaluating LLMs is a minefield
Arvind Narayanan and Sayash Kapoor. 2023 · 2023
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Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz. 2023 · 2023
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A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
Aniket Pramanick, Yufang Hou, Saif M. Mohammad, and Iryna Gurevych. 2023 · 2023
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Closed AI Models Make Bad Baselines
Anna Rogers. 2023 · 2023
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First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
Naomi Saphra, Eve Fleisig, Kyunghyun Cho, and Adam Lopez. 2023 · 2023
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Forgotten Knowledge: Examining the Citational Amnesia in NLP
Janvijay Singh, Mukund Rungta, Diyi Yang, and Saif M. Mohammad. 2023 · 2023
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Alejo Jose G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela, and Eduardo C. Garrido-Merchá\parn. 2023 · 2023
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One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, and Tao Yu. 2023 · 2023
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Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, and Saif M. Mohammad. 2023 · 2023
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Large language model
Wikipedia. 2023 · 2023
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A Survey of Large Language Models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen. 2023 · 2023
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