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Rapid advancements in Large Language models (LLMs) has significantly enhanced their reasoning capabilities.
Judgment under uncertainty: Heuristics and biases: Biases in judgments reveal some heuristics of thinking under uncertainty
Amos Tversky and Daniel Kahneman · 1974
Earlier work this paper cites.
Prospect theory: An analysis of decision under risk
Daniel Kahneman and Amos Tversky · 2013
Earlier work this paper cites.
Attention is all you need
A Vaswani · 2017
Earlier work this paper cites.
Transformer feed-forward layers are key-value memories
Mor Geva, Roei Schuster, Jonathan Berant, and Omer Levy · 2020
Earlier work this paper cites.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde De Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Earlier work this paper cites.
Capturing failures of large language models via human cognitive biases
Erik Jones and Jacob Steinhardt · 2022
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In-context learning and induction heads
Catherine Olsson, Nelson Elhage, Neel Nanda, Nicholas Joseph, Nova DasSarma, Tom Henighan, Ben Mann, Amanda Askell, Yuntao Bai, Anna Chen, et al · 2022
Earlier work this paper cites.
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, et al · 2022
Earlier work this paper cites.
Fingpt: Open-source financial large language models
Hongyang Yang, Xiao-Yang Liu, and Christina Dan Wang · 2023
Earlier work this paper cites.
Language agent tree search unifies reasoning acting and planning in language models
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, and Yu-Xiong Wang · 2023
Earlier work this paper cites.
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in chatgpt
Thilo Hagendorff, Sarah Fabi, and Michal Kosinski · 2023
Cited alongside, same era.
Cognitive effects in large language models
Jonathan Shaki, Sarit Kraus, and Michael Wooldridge · 2023
Cited alongside, same era.
Using cognitive psychology to understand gpt-3
Marcel Binz and Eric Schulz · 2023
Cited alongside, same era.
Katherine Abramski, Salvatore Citraro, Luigi Lombardi, Giulio Rossetti, and Massimo Stella · 2023
Cited alongside, same era.
Instructed to bias: instruction-tuned language models exhibit emergent cognitive bias
Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, and Yonatan Belinkov · 2023
Cited alongside, same era.
Wait, it’s all token noise? always has been: Interpreting llm behavior using shapley value
Behnam Mohammadi · 2024
Closest in time.
Gsm-symbolic: Understanding the limitations of mathematical reasoning in large language models
Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, and Mehrdad Farajtabar · 2024
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Dissociating language and thought in large language models
Kyle Mahowald, Anna A Ivanova, Idan A Blank, Nancy Kanwisher, Joshua B Tenenbaum, and Evelina Fedorenko · 2024
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Do language models exhibit the same cognitive biases in problem solving as human learners?
Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, and Mrinmaya Sachan · 2024
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Alaina N Talboy and Elizabeth Fuller · 2023
Cited alongside, same era.
Solving olympiad geometry without human demonstrations
Trieu H Trinh, Yuhuai Wu, Quoc V Le, He He, and Thang Luong · 2024
Cited alongside, same era.
Tokenization matters! degrading large language models through challenging their tokenization
Dixuan Wang, Yanda Li, Junyuan Jiang, Zepeng Ding, Guochao Jiang, Jiaqing Liang, and Deqing Yang · 2024
Cited alongside, same era.
Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
Cited alongside, same era.
Pengda Wang, Zilin Xiao, Hanjie Chen, and Frederick L Oswald · 2024
Closest in time.
Creativity has left the chat: The price of debiasing language models
Behnam Mohammadi · 2024
Closest in time.
Cognitive bias in high-stakes decision-making with llms
Jessica Echterhoff, Yao Liu, Abeer Alessa, Julian McAuley, and Zexue He · 2024
Closest in time.
A peek into token bias: Large language models are not yet genuine reasoners
Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo J Taylor, and Dan Roth · 2024
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Do large language models show decision heuristics similar to humans? a case study using gpt-3.5
Gaurav Suri, Lily R Slater, Ali Ziaee, and Morgan Nguyen · 2024
Closest in time.