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The rise of large language models (LLMs) has led many researchers to consider their usage for scientific work.
As we may think
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Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. In CHI
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How weird is CHI?. In Proceedings of the 2021 chi conference on human factors in computing systems . 1–14
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Sparks: Inspiration for science writing using language models. In Proceedings of the 2022 ACM Designing Interactive Systems Conference . 1002–1019
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Why Meta’s latest large language model survived only three days online
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How Different Groups Prioritize Ethical Values for Responsible AI. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 310–323
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Will AI console me when I lose my pet? Understanding perceptions of AI-mediated email writing. In Proceedings of the 2022 CHI conference on human factors in computing systems . 1–13
Yihe Liu, Anushk Mittal, Diyi Yang, and Amy Bruckman. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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Women are credited less in science than men
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Galactica: A Large Language Model for Science
Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, and Robert Stojnic. 2022 · 2022
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Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, Article 332, 7 pages
Priyan Vaithilingam, Tianyi Zhang, and Elena L. Glassman. 2022 · 2022
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Productivity assessment of neural code completion. In Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming (San Diego, CA, USA) (MAPS 2022) . Association for Computing Machinery, New York, NY, USA, 21–29
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Writing the rules in AI-assisted writing
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ACL 2023 Policy on AI Writing Assistance
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Impact of artificial intelligence on human loss in decision making, laziness and safety in education
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Artificial hallucinations in ChatGPT: implications in scientific writing
Hussam Alkaissi and Samy I McFarlane. 2023 · 2023
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Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
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Machine culture
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Citesee: Augmenting citations in scientific papers with persistent and personalized historical context. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–15
Joseph Chee Chang, Amy X Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, and Daniel S Weld. 2023 · 2023
Cited alongside, same era.
Gender, Age, and Technology Education Influence the Adoption and Appropriation of LLMs
Fiona Draxler, Daniel Buschek, Mikke Tavast, Perttu Hämäläinen, Albrecht Schmidt, Juhi Kulshrestha, and Robin Welsch. 2023 · 2023
Cited alongside, same era.
Friend or Foe? Exploring the Implications of Large Language Models on the Science System
Benedikt Fecher, Marcel Hebing, Melissa Laufer, Jörg Pohle, and Fabian Sofsky. 2023 · 2023
Cited alongside, same era.
Marg: Multi-agent review generation for scientific papers
Mike D’Arcy, Tom Hope, Larry Birnbaum, and Doug Downey. 2024 · 2024
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Elicit - The AI Research Assistant
Elicit. 2024 · 2024
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Three ways ChatGPT helps me in my academic writing
Dritjon Gruda. 2024 · 2024
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CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support
Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, and Aakanksha Naik. 2024 · 2024
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IEEE Guidelines for Generative AI Usage
IEEE. 2024 · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Raymond Fok, Joseph Chee Chang, Tal August, Amy X Zhang, and Daniel S Weld. 2023 · 2023
Cited alongside, same era.
Rich scholar, poor scholar: inequalities in research capacity, “knowledge” abysses, and the value of unconventional approaches to research
David Rodríguez Goyes and May-Len Skilbrei. 2023 · 2023
Cited alongside, same era.
Science journals overturn ban on ChatGPT-authored papers
Jack Grove. 2023 · 2023
Cited alongside, same era.
The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts
Mohammad Hosseini, David B Resnik, and Kristi Holmes. 2023 · 2023
Cited alongside, same era.
A tutorial on open-source large language models for behavioral science
Zak Hussain, Marcel Binz, Rui Mata, and Dirk U. Wulff. 2023 · 2023
Cited alongside, same era.
Science funding agencies say no to using AI for peer review
Jocelyn Kaiser. 2023 · 2023
Cited alongside, same era.
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology . 1–19
Hyeonsu B Kang, Tongshuang Wu, Joseph Chee Chang, and Aniket Kittur. 2023 · 2023
Cited alongside, same era.
OpenAI’s policies hinder reproducible research on language models
Sayash Kapoor and Arvind Narayanan. 2023 · 2023
Cited alongside, same era.
Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li, Tianshi Li, and Hong Shen. 2024 · 2024
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On the Societal Impact of Open Foundation Models
Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, and Arvind Narayanan. 2024 · 2024
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Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Luoma Ke, Song Tong, Peng Cheng, and Kaiping Peng. 2024 · 2024
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Delving into ChatGPT usage in academic writing through excess vocabulary
Dmitry Kobak, Rita González-Márquez, Emőke-Ágnes Horvát, and Jan Lause. 2024 · 2024
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“If the Machine Is As Good As Me, Then What Use Am I?” – How the Use of ChatGPT Changes Young Professionals’ Perception of Productivity and Accomplishment. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24) . Association for Computing Machinery, New York, NY, USA, 1–16
Charlotte Kobiella, Yarhy Said Flores López, Franz Waltenberger, Fiona Draxler, and Albrecht Schmidt. 2024 · 2024
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The long but necessary road to responsible use of large language models in healthcare research
Jethro C. C. Kwong, Serena C. Y. Wang, Grace Nickel, Giovanni E. Cacciamani, and Joseph C. Kvedar. 2024 · 2024
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Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis
Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Yi Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Scott Smith, Yian Yin, Daniel A. McFarland, and James Zou. 2024b · 2024
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Mapping the Increasing Use of LLMs in Scientific Papers
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, and James Y. Zou. 2024c · 2024
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Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (Rio de Janeiro, Brazil) (FAccT ’24) . Association for Computing Machinery, New York, NY, USA, 1774–1787
Andreas Liesenfeld and Mark Dingemanse. 2024 · 2024
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No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
Zhijie Liu, Yutian Tang, Xiapu Luo, Yuming Zhou, and Liang Feng Zhang. 2024b · 2024
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Automated Social Science: Language Models as Scientist and Subjects
Benjamin S. Manning, Kehang Zhu, and John J. Horton. 2024 · 2024
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Artificial intelligence and illusions of understanding in scientific research
Lisa Messeri and MJ Crockett. 2024 · 2024
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Apple’s Knowledge Navigator: Why Doesn’t that Conversational Agent Exist Yet?. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–14
Amanda K Newendorp, Mohammadamin Sanaei, Arthur J Perron, Hila Sabouni, Nikoo Javadpour, Maddie Sells, Katherine Nelson, Michael Dorneich, and Stephen B Gilbert. 2024 · 2024
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The Use of Generative Artificial Intelligence Technologies is Prohibited for the NIH Peer Review Process
National Institutes of Health. 2024 · 2024
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The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
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Breaking the Silence: the Threats of Using LLMs in Software Engineering. In Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER’24) . Association for Computing Machinery, New York, NY, USA, 102–106
June Sallou, Thomas Durieux, and Annibale Panichella. 2024 · 2024
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FutureHouse - Announcing FutureHouse
FutureHouse. Sam Rodriques. 2024 · 2024
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Rethinking Interpretability in the Era of Large Language Models
Chandan Singh, Jeevana Priya Inala, Michel Galley, Rich Caruana, and Jianfeng Gao. 2024 · 2024
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Dolma: An open corpus of three trillion tokens for language model pretraining research
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, et al · 2024
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Evaluating LLMs’ Mathematical Reasoning in Financial Document Question Answering. In Findings of the Association for Computational Linguistics ACL 2024 , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand and virtual meeting, 3853–3878
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Attitudes towards AI: measurement and associations with personality
Jan-Philipp Stein, Tanja Messingschlager, Timo Gnambs, Fabian Hutmacher, and Markus Appel. 2024 · 2024
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MetaWriter: Exploring the Potential and Perils of AI Writing Support in Scientific Peer Review
Lu Sun, Stone Tao, Junjie Hu, and Steven P Dow. 2024 · 2024
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Updating “The Future of Coding”: Comparing Generative Large Language Models to Other Text Analysis Methods
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Undermind - AI Powered Scientific Research Assistant
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SciMON: Scientific Inspiration Machines Optimized for Novelty. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 279–299
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The Behavioral and Social Sciences Need Open LLMs
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Can Large Language Models Transform Computational Social Science?
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