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cs.DB2026
Cost-Effective Numerical QA over Semi-Structured Table: Structuring, Resolution, Planning
Feng Luo, Hui Luo, Zhifeng Bao +3
Semi-structured tables encode rich semantic information through diverse layout elements, such as hierarchical row and column headers. Answering numerical questions over such data i…
cs.DB2026
GRAFT: Graph-Matched Retrieval and Fusion of Tables in Data Lakes
Daomin Ji, Hui Luo, Zhifeng Bao +2
Autonomous data agents resolve analytical queries by retrieving and reasoning over evidence in tabular data lakes. Existing methods score tables independently against the query and…
cs.DB2026
Decomposition-Driven Multi-Table Retrieval and Reasoning for Numerical Question Answering
Feng Luo, Hai Lan, Hui Luo +4
In this paper, we study the problem of numerical multi-table question answering (MTQA) over large-scale table collections (e.g., online data repositories). This task is essential i…