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Table-to-report generation refers to the task of automatically generating article-level analyt- ical reports from relational tables and is an essential capability for automated data science and decision support. Its central challenge lies in systematically discovering verifiable com- posite insights across tables, attr...
This work proposes EidosDoc, a novel system that achieves state-of-the-art accuracy with minimal computational expense, and establishes a new optimal trade-off among accuracy, cost, and speed.
Experiments on three real-world datasets demonstrate that AnnoIndex consistently outperforms state-of-the-art baselines, achieving the highest average F1 score while maintaining robust performance on complex multi-hop join and progressive reasoning queries.
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