Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning

ArXi:2604.12282v1 Announce Type: new Spreadsheets are central to real-world applications such as enterprise reporting, auditing, and scientific data management. Despite their ubiquity, existing large language model based approaches typically treat tables as plain text, overlooking critical layout cues and visual semantics. Moreover, real-world spreadsheets are often massive in scale, exceeding the input length that LLMs can efficiently process.