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Analogical reasoning is a fundamental capacity of human cognition that allows us to reason abstractly about novel situations by relating them to past experiences.
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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John C Raven and JH Court. 1938 · 1938
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Structure-mapping: A theoretical framework for analogy
Dedre Gentner. 1983 · 1983
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Keith J Holyoak. 1984 · 1984
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Does learning a complex task have to be complex?: A study in learning decomposition
Frank J Lee and John R Anderson. 2001 · 2001
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Combining independent modules in lexical multiple-choice problems
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Numerical cognition without words: Evidence from Amazonia
Peter Gordon. 2004 · 2004
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Analogyspace: Reducing the dimensionality of common sense knowledge
Robyn Speer, Catherine Havasi, and Henry Lieberman. 2008 · 2008
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The latent relation mapping engine: Algorithm and experiments
Peter D Turney. 2008 · 2008
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Bootstrapping the mind: Analogical processes and symbol systems
Dedre Gentner. 2010 · 2010
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Analogy and relational reasoning
Keith J Holyoak. 2012 · 2012
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Spatial language facilitates spatial cognition: Evidence from children who lack language input
Dedre Gentner, Asli Özyürek, Özge Gürcanli, and Susan Goldin-Meadow. 2013 · 2013
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Surfaces and essences: Analogy as the fuel and fire of thinking
Douglas R Hofstadter and Emmanuel Sander. 2013 · 2013
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Linguistic regularities in continuous space word representations
Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. 2013b · 2013
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Language helps children succeed on a classic analogy task
Stella Christie and Dedre Gentner. 2014 · 2014
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Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum. 2015 · 2015
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Issues in evaluating semantic spaces using word analogies
Tal Linzen. 2016 · 2016
Abstraction and analogy-making in artificial intelligence
Melanie Mitchell. 2021 · 2021
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Mapping language models to grounded conceptual spaces
Roma Patel and Ellie Pavlick. 2021 · 2021
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Abstract spatial-temporal reasoning via probabilistic abduction and execution
Chi Zhang, Baoxiong Jia, Song-Chun Zhu, and Yixin Zhu. 2021 · 2021
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VASR: Visual analogies of situation recognition
Yonatan Bitton, Ron Yosef, Eli Strugo, Dafna Shahaf, Roy Schwartz, and Gabriel Stanovsky. 2022 · 2022
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E-KAR: A benchmark for rationalizing natural language analogical reasoning
Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, and Hao Zhou. 2022 · 2022
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Abstract visual reasoning with tangram shapes
Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert Hawkins, and Yoav Artzi. 2022 · 2022
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Learning to make analogies by contrasting abstract relational structure
Felix Hill, Adam Santoro, David GT Barrett, Ari S Morcos, and Timothy Lillicrap. 2019 · 2019
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Emergence of analogy from relation learning
Hongjing Lu, Ying Nian Wu, and Keith J Holyoak. 2019 · 2019
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Few-shot visual reasoning with meta-analogical contrastive learning
Youngsung Kim, Jinwoo Shin, Eunho Yang, and Sung Ju Hwang. 2020 · 2020
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Draw Me a Flower: Processing and Grounding Abstraction in Natural Language
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Deep learning methods for abstract visual reasoning: A survey on Raven’s Progressive Matrices
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Evaluating understanding on conceptual abstraction benchmarks
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Training language models to follow instructions with human feedback
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Life is a circus and we are the clowns: Automatically finding analogies between situations and processes
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Emergent analogical reasoning in large language models
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OPT: Open pre-trained transformer language models
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