Spreadsheet Modeling Experiments Using GPTs on Small Problem Statements and the Wall Task
This paper investigates how GPT-based tools can assist in building reusable analytical spreadsheet models. After a screening, we evaluate five GPT extensions and select Excel AI by pulsrai.com for detailed testing. Through structured experiments on simple problem statements, we assess Excel AI's performance against the ERFR criteria (each input in a cell; cell formulas; no hardwired numbers; labels; accurate). Results show that while Excel AI can produce well-structured models, it is inconsistent and often non-reproducible. We identify two central challenges - "the problem of confidence" and "the problem of workflow" - which highlight the need for skilled users to verify and adapt GPT-gen...
| Authors | Thomas A. Grossman, Yuan Chen, Sopiko Datuashvili |
|---|---|
| Primary category | cs.SE |
| Published | 28 April 2026 |
| Last updated at source | 28 April 2026 |
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