3 papers
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.CV2026
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…
cs.CL2025
On Finding Inconsistencies in Documents
Charles J. Lovering, Seth Ebner, Brandon Smock +5
Professionals in academia, law, and finance audit their documents because inconsistencies can result in monetary, reputational, and scientific costs. Language models (LMs) have the…