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The advancement of Large Language Models (LLMs) has led to their widespread use across a broad spectrum of tasks including decision making.
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, et al. 2020 · 1901
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Assessing the ability of lstms to learn syntax-sensitive dependencies
Tal Linzen, Emmanuel Dupoux, and Yoav Goldberg. 2016 · 2016
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Behavioral Economics
Edward Cartwright. 2018 · 2018
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Reinforcement Learning: An Introduction
Richard S Sutton and Andrew G Barto. 2018 · 2018
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Neural language models as psycholinguistic subjects: Representations of syntactic state
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, and Roger Levy. 2019 · 2019
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Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman. 2021 · 2021
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Who is gpt-3? an exploration of personality, values and demographics
Marilù Miotto, Nicola Rossberg, and Bennett Kleinberg. 2022 · 2022
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Impact of pretraining term frequencies on few-shot numerical reasoning
Yasaman Razeghi, Robert L Logan IV, Matt Gardner, and Sameer Singh. 2022 · 2022
Earlier work this paper cites.
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al. 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 Chi, Quoc Le, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Katherine Abramski, Salvatore Citraro, Luigi Lombardi, Giulio Rossetti, and Massimo Stella. 2023 · 2023
Cited alongside, same era.
Using cognitive psychology to understand gpt-3
Marcel Binz and Eric Schulz. 2023 · 2023
Cited alongside, same era.
Large language models as simulated economic agents: What can we learn from homo silicus?
John J Horton. 2023 · 2023
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MathPrompter: Mathematical reasoning using large language models
Shima Imani, Liang Du, and Harsh Shrivastava. 2023 · 2023
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Artificial intelligence chatgpt in medicine. can it be the friend you are looking for?
Iqbal Munir et al. 2023 · 2023
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Llm is like a box of chocolates: the non-determinism of chatgpt in code generation
Shuyin Ouyang, Jie M. Zhang, Mark Harman, and Meng Wang. 2023 · 2023
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Investigating emergent goal-like behaviour in large language models using experimental economics
Steve Phelps and Yvan I Russell. 2023 · 2023
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Bojana Bodroza, Bojana M Dinic, and Ljubisa Bojic. 2023 · 2023
Cited alongside, same era.
Eight things to know about large language models
Samuel R Bowman. 2023 · 2023
Cited alongside, same era.
Does ChatGPT resemble humans in language use?
Zhenguang G Cai, David A Haslett, Xufeng Duan, Shuqi Wang, and Martin J Pickering. 2023 · 2023
Cited alongside, same era.
Social companionship with artificial intelligence: Recent trends and future avenues
Rijul Chaturvedi, Sanjeev Verma, Ronnie Das, and Yogesh K Dwivedi. 2023 · 2023
Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023 · 2023
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Auto-gpt for online decision making: Benchmarks and additional opinions
Hui Yang, Sifu Yue, and Yunzhong He. 2023 · 2023
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Humans use directed and random exploration to solve the explore–exploit dilemma
Robert C Wilson, Andra Geana, John M White, Elliot A Ludvig, and Jonathan D Cohen. 2014 · 2074
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