SheetCompass: Hierarchical Relation Graphs for Agentic Spreadsheet Reasoning· SheetCompass:用于主动表格推理的层次关系图
Spreadsheets are widely used to organize, analyze, and manipulate semi-structured data, yet automated spreadsheet reasoning remains challenging for large language models (LLMs). Real-world workbooks often contain implicit cross-table associations, fine-grained column dependencies, and complex spatial layouts. Existing methods typically flatten these multidimensional structures into sequential strings, losing important intra-sheet boundaries and inter-sheet semantics. Consequently, LLMs cannot exploit the global spatial context that human experts naturally use when inspecting spreadsheets. We propose SheetCompass, a graph-guided and memory-driven agentic framework for spreadsheet reasoning and automation. SheetCompass explicitly models structural relationships within and across worksheets w
SheetCompass利用层次关系图进行表格推理,提高自动化处理能力。
- 核心方法
- 提出了一种基于图的引导和记忆驱动的框架SheetCompass,显式地建模工作表内和工作表间的关系结构。
- 适合谁读
- 适合对电子表格自动化感兴趣的AI研究者和工程师
- 要解决的问题
- 现有方法在处理电子表格时,通常将多维结构展平为顺序字符串,导致丢失表内和表间的重要语义信息,无法利用全局空间上下文。
- 关键实验
- 未提供
- 主要贡献
- SheetCompass能够更准确地理解电子表格的结构和语义,为自动化电子表格处理提供了新方法。
- 意义与局限
- 提高了电子表格自动化处理的准确性和效率,但可能在某些特定场景下的性能仍需进一步验证。