SheetCompass：面向智能体电子表格推理的层级关系图框架
SheetCompass: Hierarchical Relation Graphs for Agentic Spreadsheet Reasoning
SheetCompass 把表格结构画成关系图给智能体看，比直接压成文本更能抓住跨表联系，搞电子表格自动化的可以试试。
SheetCompass 是一种面向电子表格推理的图引导智能体框架。它显式建模工作表内外的层级关系图，而非像现有方法那样将多维表格展平为字符串。
该框架通过记忆模块保留任务相关信息，让 LLM 能利用人类专家常用的全局空间上下文。在复杂工作簿的推理和自动化任务中，SheetCompass 增强了智能体对跨表关联和列依赖的理解。
SheetCompass: Hierarchical Relation Graphs for Agentic Spreadsheet Reasoning
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 while maintaining task-relevant information in memory, enabling agents to reason more effectively over complex workbooks.
本条情报归属 AITOP「论文」核心追踪栏目。涉及核心实体与技术议题包括：SheetCompass、智能体、图结构、电子表格推理，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。
信源核验说明：本文原始线索采编自「arXiv cs.AI」（@Panjing He, Mingyue Cheng, Yucong Luo, Li Li, Xiaohan Zhang），经 AITOP 多维评分管线结构化提炼。
