Emergent Analogical Reasoning in Large Language Models
arxiv:2212.09196
Reasoning and the "physics" of language models · 2022-12-19
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Contents
- Emergent Analogical Reasoning in Large Language Models 0 0 footnotetext: Published at Nature Human Behaviour (2023) https://doi.org/10.1038/s41562-023-01659-w
- Abstract
- 1 Introduction
- 2 Results
- 2.1 Matrix reasoning problems
- 2.2 Letter string analogies
- 2.3 Four-term verbal analogies
- 2.4 Story analogies
- 2.5 Analogical problem-solving
- 3 Discussion
- 4 Methods
- 4.1 Code
- 4.2 GPT-3
- 4.3 Digit Matrices
- 4.3.1 Dataset
- 4.3.2 Human behavioral experiments
- 4.3.3 Evaluating GPT-3
- 4.3.4 Statistical analyses
- 4.4 Letter string analogies
- 4.4.1 Problem set
- 4.4.2 Evaluating GPT-3
- 4.4.3 Human behavioral experiment
- 4.4.4 Statistical analyses
- 4.5 Four-term verbal analogies
- 4.6 Story analogies
- 4.6.1 Materials
- 4.6.2 Human behavioral experiment
- 4.6.3 Evaluating GPT-3
- 4.6.4 Evaluating GPT-4
- 4.6.5 Statistical analyses
- 4.7 Analogical problem-solving
- Data Availability
- Code Availability
- Acknowledgements
- Author Contributions Statement
- Competing Interests Statement