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Tax Knowledge Graph for a Smarter and More Personalized TurboTax

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arxiv 2009.06103 v1 pith:T4GQ5PGJ submitted 2020-09-13 cs.AI

classification cs.AI
keywords graphknowledgecomplicatedlarge-scalelogicpersonalizedrepresentingturbotax
verification ladder T0 review T1 audit T2 compute T3 formal

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Most knowledge graph use cases are data-centric, focusing on representing data entities and their semantic relationships. There are no published success stories to represent large-scale complicated business logic with knowledge graph technologies. In this paper, we will share our innovative and practical approach to representing complicated U.S. and Canadian income tax compliance logic (calculations and rules) via a large-scale knowledge graph. We will cover how the Tax Knowledge Graph is constructed and automated, how it is used to calculate tax refunds, reasoned to find missing info, and navigated to explain the calculated results. The Tax Knowledge Graph has helped transform Intuit's flagship TurboTax product into a smart and personalized experience, accelerating and automating the tax preparation process while instilling confidence for millions of customers.

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Cited by 1 Pith paper

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  1. TaxCalcBench: Evaluating Frontier Models on the Tax Calculation Task

    cs.AI 2025-07 conditional novelty 6.0 of 10

    Frontier LLMs compute correct answers on fewer than one-third of simplified 2024 federal income tax returns in the new TaxCalcBench benchmark.

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