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In this paper, we evaluate whether LLMs learn to make human-like preference judgements in strategic scenarios as compared with known empirical results.
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On the computational power of transformers and its implications in sequence modeling
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Individual and group behaviour in the traveler’s dilemma: An experimental study
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Dropout as a bayesian approximation: Representing model uncertainty in deep learning
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Characterising transitive two-sample tests
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Moral bargain hunters purchase moral righteousness when it is cheap: within-individual effect of stake size in economic games
Yamagishi, T.; Li, Y.; Matsumoto, Y.; and Kiyonari, T. 2016 · 2016
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Pythagorean fuzzy preference relations and their applications in group decision-making systems
Mandal, P.; and Ranadive, A. 2019 · 2019
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Do language models learn typicality judgments from text?
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Finding an Equilibrium in the Traveler’s Dilemma with Fuzzy Weak Domination
Roberts, J. 2021 · 2021
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Solar 10.7 b: Scaling large language models with simple yet effective depth up-scaling
Kim, D.; Park, C.; Kim, S.; Lee, W.; Song, W.; Kim, Y.; Kim, H.; Kim, Y.; Lee, H.; Kim, J.; et al. 2023 · 2023
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Do Large Language Models Show Decision Heuristics Similar to Humans? A Case Study Using GPT-3.5
Suri, G.; Slater, L. R.; Ziaee, A.; and Nguyen, M. 2023 · 2023
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Llama: Open and efficient foundation language models
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; et al. 2023 · 2023
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Do Large Language Models know what humans know?
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Alós-Ferrer, C.; Fehr, E.; and Garagnani, M. 2022 · 2022
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Srivastava, A.; Rastogi, A.; Rao, A.; Shoeb, A. A. M.; Abid, A.; Fisch, A.; Brown, A. R.; Santoro, A.; Gupta, A.; Garriga-Alonso, A.; et al. 2022 · 2022
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Playing repeated games with large language models
Akata, E.; Schulz, L.; Coda-Forno, J.; Oh, S. J.; Bethge, M.; and Schulz, E. 2023 · 2023
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Using cognitive psychology to understand GPT-3
Binz, M.; and Schulz, E. 2023 · 2023
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Phi-2: The surprising power of small language models
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Jiang, A. Q.; Sablayrolles, A.; Mensch, A.; Bamford, C.; Chaplot, D. S.; Casas, D. d. l.; Bressand, F.; Lengyel, G.; Lample, G.; Saulnier, L.; et al. 2023 · 2023
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Trott, S.; Jones, C.; Chang, T.; Michaelov, J.; and Bergen, B. 2023 · 2023
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Large language models fail on trivial alterations to theory-of-mind tasks
Ullman, T. 2023 · 2023
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Agieval: A human-centric benchmark for evaluating foundation models
Zhong, W.; Cui, R.; Guo, Y.; Liang, Y.; Lu, S.; Wang, Y.; Saied, A.; Chen, W.; and Duan, N. 2023 · 2023
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Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis
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Team, G.; Mesnard, T.; Hardin, C.; Dadashi, R.; Bhupatiraju, S.; Pathak, S.; Sifre, L.; Rivière, M.; Kale, M. S.; Love, J.; et al. 2024 · 2024
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