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Researchers in social science and psychology have recently proposed using large language models (LLMs) as replacements for humans in behavioral research.
Measuring the crowd within
Edward Vul and Harold Pashler. 2008 · 2008
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Proximal Policy Optimization Algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017 · 2017
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Certainty is primarily determined by past performance during concept learning
Louis Martí, Francis Mollica, Steven T. Piantadosi, and Celeste Kidd. 2018 · 2018
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Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, and Anders Søgaard. 2021 · 2021
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Evaluating the Evaluation of Diversity in Natural Language Generation
Guy Tevet and Jonathan Berant. 2021 · 2021
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Mysteries of mode collapse
janus. 2022 · 2022
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Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task
Sonia K. Murthy, Thomas L. Griffiths, and Robert D. Hawkins. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll 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 F Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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Mapping Language Models to Grounded Conceptual Spaces
Roma Patel and Ellie Pavlick. 2022 · 2022
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Using large language models to simulate multiple humans and replicate human subject studies
Gati Aher, Rosa I. Arriaga, and Adam Tauman Kalai. 2023 · 2023
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Out of One, Many: Using Language Models to Simulate Human Samples
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua R. Gubler, Christopher Rytting, and David Wingate. 2023 · 2023
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Can AI language models replace human participants?
Danica Dillion, Niket Tandon, Yuling Gu, and Kurt Gray. 2023 · 2023
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Chatgpt outperforms crowd workers for text-annotation tasks
Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli. 2023 · 2023
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Evaluating large language models in generating synthetic hci research data: a case study
Perttu Hämäläinen, Mikke Tavast, and Anton Kunnari. 2023 · 2023
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Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, and Hannaneh Hajishirzi. 2023 · 2023
Cited alongside, same era.
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
Cited alongside, same era.
Large language models predict human sensory judgments across six modalities
Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, and Thomas L. Griffiths. 2023 · 2023
Cited alongside, same era.
Latent diversity in human concepts
Louis Martí, Shengyi Wu, Steven T. Piantadosi, and Celeste Kidd. 2023 · 2023
Cited alongside, same era.
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
Joy He-Yueya, Wanjing Anya Ma, Kanishk Gandhi, Benjamin W. Domingue, Emma Brunskill, and Noah D. Goodman. 2024 · 2024
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Auxiliary task demands mask the capabilities of smaller language models
Jennifer Hu and Michael Frank. 2024 · 2024
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AI Alignment: A Comprehensive Survey
Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O’Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, and Wen Gao. 2024 · 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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Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D. Manning, Stefano Ermon, and Chelsea Finn. 2023 · 2023
Cited alongside, same era.
Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. 2023 · 2023
Cited alongside, same era.
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem 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, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
Cited alongside, same era.
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J Ratner, Ranjay Krishna, Jiaming Shen, and Chao Zhang. 2023 · 2023
Cited alongside, same era.
Fine-Tuning Language Models with Advantage-Induced Policy Alignment
Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, and Jiantao Jiao. 2023 · 2023
Cited alongside, same era.
Divergent Creativity in Humans and Large Language Models
Antoine Bellemare-Pepin, François Lespinasse, Philipp Thölke, Yann Harel, Kory Mathewson, Jay A. Olson, Yoshua Bengio, and Karim Jerbi. 2024 · 2024
Cited alongside, same era.
Turning large language models into cognitive models
Marcel Binz and Eric Schulz. 2024 · 2024
Cited alongside, same era.
Bayesian Statistical Modeling with Predictors from LLMs
Michael Franke, Polina Tsvilodub, and Fausto Carcassi. 2024 · 2024
Cited alongside, same era.
Studying the effect of globalization on color perception using multilingual online recruitment and large language models
Jakob Niedermann, Ilia Sucholutsky, Raja Marjieh, Elif Celen, Thomas L Griffiths, Nori Jacoby, and Pol van Rijn. 2024 · 2024
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Attributing Mode Collapse in the fine-tuning of Large Language Models
Laura O’Mahony, Leo Grinsztajn, Hailey Schoelkopf, and Stella Biderman. 2024 · 2024
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Does writing with language models reduce content diversity?
Vishakh Padmakumar and He He. 2024 · 2024
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Diminished diversity-of-thought in a standard large language model
Peter S. Park, Philipp Schoenegger, and Chongyang Zhu. 2024 · 2024
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Is Temperature the Creativity Parameter of Large Language Models?
Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous. 2024 · 2024
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In-context impersonation reveals large language models’ strengths and biases
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, and Zeynep Akata. 2024 · 2024
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AI models collapse when trained on recursively generated data
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, and Yarin Gal. 2024 · 2024
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Zephyr: Direct Distillation of LM Alignment
Lewis Tunstall, Edward Emanuel Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro Von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, and Thomas Wolf. 2024 · 2024
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Starling-7B: Improving Helpfulness and Harmlessness with RLAIF
Banghua Zhu, Evan Frick, Tianhao Wu, Hanlin Zhu, Karthik Ganesan, Wei-Lin Chiang, Jian Zhang, and Jiantao Jiao. 2024 · 2024
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