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Paper · arXiv

fxBench: Evaluating and Understanding Formula Suggestions in Spreadsheets

Spreadsheets are among the most widely used tools for computations, and formulas are their core building blocks. Besides agentic spreadsheet tools, proactive formula suggestions enable significant productivity gains and are now available in popular spreadsheet software (Microsoft Excel and Google Sheets). Such suggestions pose interesting challenges: the right context must be collected and represented for a machine learning model, which must then be able to write a correct formula, in a way that is fast and cheap enough to trigger on every = (or subsequent keystrokes for auto-completion) without taking users out of their editing flow. Surprisingly, there is no public benchmark for formula...

AuthorsSanket Mhatre, Sumit Gulwani, Vu Le et al.
Primary categorycs.LG
Published17 October 2026
Last updated at source17 October 2026
cs.LG
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