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- W4378465243 abstract "This report overviews our ongoing work in enriching chain-of-thoughts datasets requiring arithmetical reasoning with the integration of non-parametric components, such as a calculator. We conduct an analysis of prominent relevant datasets such as GSM8K, Ape210K, AQuA-RAT, and MathQA and propose a machine-processable HTML-like format specifically tailored for working with semi-structured chains. By converting the datasets into this unified format, we enable the effective integration of large language models and symbolic systems, empowering them to tackle arithmetical reasoning tasks more efficiently." @default.
- W4378465243 created "2023-05-27" @default.
- W4378465243 creator A5032449871 @default.
- W4378465243 creator A5043467916 @default.
- W4378465243 date "2023-05-24" @default.
- W4378465243 modified "2023-09-25" @default.
- W4378465243 title "Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems" @default.
- W4378465243 doi "https://doi.org/10.48550/arxiv.2305.15017" @default.
- W4378465243 hasPublicationYear "2023" @default.
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