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New benchmark evaluates spreadsheet action prediction systems

Researchers have developed a new benchmark and framework to evaluate systems that predict user actions in spreadsheets. This addresses a gap in auto-completion features for spreadsheets, which are less common than in code development. The benchmark includes manually curated action sequences and an online evaluation method to assess prediction accuracy and efficiency across various baseline models. AI

RANK_REASON The cluster contains a research paper introducing a new benchmark and framework for evaluating AI systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tejas Agrawal, Vu Le, Sumit Gulwani, Gust Verbruggen ·

    A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets

    arXiv:2606.13802v1 Announce Type: cross Abstract: Predictive code completion greatly accelerates how quickly developers work. In spreadsheets, despite being much more common, such auto-completion features are virtually non-existent. To address this gap, we introduce a benchmark f…