Microsoft Unveils SPREADSHEETLLM for Smarter Spreadsheet Analysis
Microsoft has introduced SPREADSHEETLLM, a framework that enhances the processing and analysis of complex spreadsheet data using large language models (LLMs). Key innovations include SHEETCOMPRESSOR, structural anchor extraction, and inverted-index translation, which collectively improve performance and reduce computational costs. SPREADSHEETLLM achieved state-of-the-art results in experiments, significantly outperforming previous methods and reducing processing costs by 96%. This advancement represents a major step forward in applying LLMs to spreadsheet analysis, enabling more efficient data interactions.

