QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs

arXiv:2405.05109v1 Announce Type: new
Abstract: Table summarization is a crucial task aimed at condensing information from tabular data into concise and comprehensible textual summaries. However, existing approaches often fall short of adequately meeting users' information and quality requirements and tend to overlook the complexities of real-world queries. In this paper, we propose a novel method to address these limitations by introducing query-focused multi-table summarization. Our approach, which comprises a table serialization module, a summarization controller, and a large language model …

abstract arxiv complexities cs.ai cs.cl data however information inputs paper quality queries query requirements summarization table tabular tabular data textual type world