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Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

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RT-X

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author

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2026-02-19 05:49:21

raw text

Chain of Code Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Chengshu Li 1,2,* , Jacky Liang 1 , Andy Zeng 1 , Xinyun Chen 1 , Karol Hausman 1,2 , Dorsa Sadigh 1,2 , Sergey Levine 1,3 , Li Fei-Fei 2 , Fei Xia 1,† , Brian Ichter 1,† 1 Google DeepMind , 2 Stanford University , 3 University of California, Berkeley * Work done as a student researcher at Google DeepMind. † Equal advising. Corresponding emails: chengshu@stanford.edu , xiafei@google.com , ichter@google.com ICML 2024 Oral Paper Demo Code Abstract Code provides a general syntactic structure to build complex programs and perform precise computations when paired with a code interpreter – we hypothesize that language models (LMs) can leverage code-writing to improve Chain of Thought reasoning not only for logic and arithmetic...

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