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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

AI 解读论文

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。
领域:cs.AI作者:Panjing He、Mingyue Cheng、Yucong Luo
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