Microsoft Researchers Create Benchmark for AI-Powered Spreadsheet Autocomplete
Spreadsheets are getting AI autocomplete? New benchmark predicts your next move.
Deep Dive
Tejas Agrawal et al. introduced a benchmark for predicting next user actions in spreadsheets. They curated 52 sequences of 12K actions from public corpora using heuristics and LLM refinement. Their online evaluation system accepts/rejects predictions and updates future actions. Baseline predictors include zero-shot LLMs, fine-tuned SLMs, and classical models. Accepted at ICML 2026.
Key Points
- 52 action sequences with 12,000 total actions curated from public spreadsheets using heuristics and LLM refinement.
- Online evaluation framework that accepts/rejects predictions and dynamically updates future actions.
- Tested baseline predictors including zero-shot LLMs, fine-tuned SLMs, and classical models, analyzing efficiency and user context effects.
Why It Matters
Could bring intelligent autocomplete to billions of spreadsheet users, drastically reducing manual data work and errors.