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…
math.ST2025
Debiased Prediction Inference with Non-sparse Loadings in Misspecified High-dimensional Regression Models
Libin Liang, Zhiqiang Tan
High-dimensional regression models with regularized sparse estimation are widely applied. For statistical inferences, debiased methods are available about single coefficients or pr…