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Effective generation of novel hypotheses is instrumental to scientific progress.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
Earlier work this paper cites.
Creative cognitive processes in kekule’s discovery of the structure of the benzene molecule
Albert Rothenberg. 1995 · 1995
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Engaging texts: Effects of concreteness on comprehensibility, interest, and recall in four text types
Mark Sadoski, Ernest T Goetz, and Maximo Rodriguez. 2000 · 2000
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2001
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Using confidence bounds for exploitation-exploration trade-offs
Peter Auer. 2002 · 2002
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Deception detection
Pär Anders Granhag and Aldert Vrij. 2005 · 2005
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Experimental study of inequality and unpredictability in an artificial cultural market
Matthew J Salganik, Peter Sheridan Dodds, and Duncan J Watts. 2006 · 2006
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Finding deceptive opinion spam by any stretch of the imagination
Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey T. Hancock. 2011 · 2011
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How to grow a mind: Statistics, structure, and abstraction
Joshua B. Tenenbaum, Charles Kemp, Thomas L. Griffiths, and Noah D. Goodman. 2011 · 2011
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Identifying manipulated offerings on review portals
Jiwei Li, Myle Ott, and Claire Cardie. 2013 · 2013
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Reviews without a purchase: Low ratings, loyal customers, and deception
Eric T Anderson and Duncan I Simester. 2014 · 2014
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Towards a general rule for identifying deceptive opinion spam
Jiwei Li, Myle Ott, Claire Cardie, and Eduard Hovy. 2014 · 2014
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The effect of wording on message propagation: Topic- and author-controlled natural experiments on twitter
Chenhao Tan, Lillian Lee, and Bo Pang. 2014 · 2014
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Causal effects of brevity on style and success in social media
Kristina Gligorić, Ashton Anderson, and Robert West. 2019 · 2019
Cited alongside, same era.
On human predictions with explanations and predictions of machine learning models: A case study on deception detection
Vivian Lai and Chenhao Tan. 2019 · 2019
Cited alongside, same era.
RoBERTa: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
Cited alongside, same era.
DreamCoder: growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke Hewitt, Armando Solar-Lezama, and Joshua B. Tenenbaum. 2020 · 2020
Cited alongside, same era.
"Why is ’Chicago’ deceptive?" Towards building model-driven tutorials for humans
Vivian Lai, Han Liu, and Chenhao Tan. 2020 · 2020
Cited alongside, same era.
Large language models are zero shot hypothesis proposers
Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, and Bowen Zhou. 2023 · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin R. Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Daniel M. Bikel, Lukas Blecher, Cristian Cantón Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony S. Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel M. Kloumann, A. V. Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, R. Subramanian, Xia Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zhengxu Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
Later among the works it cites.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023 · 2023
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Goal driven discovery of distributional differences via language descriptions
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The language that drives engagement: A systematic large-scale analysis of headline experiments
Akshina Banerjee and Oleg Urminsky. 2021 · 2021
Cited alongside, same era.
The upworthy research archive, a time series of 32,487 experiments in U.S. media
Jorge Nathan Matias, Kevin Munger, Marianne Aubin Le Quere, and Charles R. Ebersole. 2021 · 2021
Cited alongside, same era.
Instruction induction: From few examples to natural language task descriptions
Or Honovich, Uri Shaham, Samuel R. Bowman, and Omer Levy. 2022 · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Claude 2
Anthropic. 2023 · 2023
Cited alongside, same era.
AI-augmented surveys: Leveraging large language models and surveys for opinion prediction
Junsol Kim and Byungkyu Lee. 2023 · 2023
Cited alongside, same era.
Mixtral of experts
Mistral. 2023 · 2023
Cited alongside, same era.
Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, and Jacob Steinhardt. 2023 · 2023
Later among the works it cites.
Can large language models transform computational social science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2024 · 2023
Later among the works it cites.
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, and Sung Ju Hwang. 2024 · 2024
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Machine learning as a tool for hypothesis generation*
Jens Ludwig and Sendhil Mullainathan. 2024 · 2024
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Topicgpt: A prompt-based topic modeling framework
Chau Minh Pham, Alexander Hoyle, Simeng Sun, and Mohit Iyyer. 2024 · 2024
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Phenomenal yet puzzling: Testing inductive reasoning capabilities of language models with hypothesis refinement
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, and Xiang Ren. 2024 · 2024
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Mathematical discoveries from program search with large language models
Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M Pawan Kumar, Emilien Dupont, Francisco JR Ruiz, Jordan S Ellenberg, Pengming Wang, Omar Fawzi, et al. 2024 · 2024
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Solving olympiad geometry without human demonstrations
Trieu Trinh, Yuhuai Tony Wu, Quoc Le, He He, and Thang Luong. 2024 · 2024
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SciMON: Scientific inspiration machines optimized for novelty
Qingyun Wang, Doug Downey, Heng Ji, and Tom Hope. 2024 · 2024
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