3 papers
cs.AI2026
From Benchmarks to Production: A Text-to-SQL System for Complex Financial Data
Arijit Sehanobish, Bruno Gomes Coelho, Guillaume Michel +3
General-purpose Text-to-SQL systems achieve strong performance on academic benchmarks like Spider and BIRD, where schemas are relatively shallow and column values are often human r…
cs.CV2026
POTATR: A Lightweight Image-to-Graph Model for Page-Level Table Extraction
Brandon Smock, Libin Liang, Max Sokolov +4
Large-scale document processing requires contextually aware table extraction (TE) that is both accurate and efficient. Yet current approaches require billions of parameters, hundre…
cs.CV2025
PubTables-v2: A new large-scale dataset for full-page and multi-page table extraction
Brandon Smock, Valerie Faucon-Morin, Max Sokolov +4
Table extraction (TE) is a key challenge in document understanding. Traditional approaches detect tables first, then recognize their structure. Recently, interest has surged in dev…