Robotic Process Automation of Unstructured Data with Machine Learning. - Anna Wróblewska; Tomasz Stanislawek; Bartlomiej Prus-Zajaczkowski; Lukasz Garncarek (FedCSIS (Position Papers), 2018)

LAMBERT: Layout-Aware language Modeling using BERT for information extraction. - Lukasz Garncarek; Rafal Powalski; Tomasz Stanislawek; Bartosz Topolski; Piotr Halama; Filip Gralinski (CoRR, 2020)

LAMBERT: Layout-Aware Language Modeling for Information Extraction. - Lukasz Garncarek; Rafal Powalski; Tomasz Stanislawek; Bartosz Topolski; Piotr Halama; Michal Turski; Filip Gralinski (ICDAR (1), 2021)

Sparsifying Transformer Models with Trainable Representation Pooling. - Michal Pietruszka; Lukasz Borchmann; Lukasz Garncarek (ACL (1), 2022)

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. - Piotr Tempczyk; Rafal Michaluk; Lukasz Garncarek; Przemyslaw Spurek; Jacek Tabor; Adam Golinski (ICML, 2022)

STable: Table Generation Framework for Encoder-Decoder Models. - Michal Pietruszka; Michal Turski; Lukasz Borchmann; Tomasz Dwojak; Gabriela Palka; Karolina Szyndler; Dawid Jurkiewicz; Lukasz Garncarek (CoRR, 2022)

STable: Table Generation Framework for Encoder-Decoder Models. - Michal Pietruszka; Michal Turski; Lukasz Borchmann; Tomasz Dwojak; Gabriela Nowakowska; Karolina Szyndler; Dawid Jurkiewicz; Lukasz Garncarek (EACL (1), 2024)

Arctic-TILT. Business Document Understanding at Sub-Billion Scale. - Lukasz Borchmann; Michal Pietruszka; Wojciech Jaskowski; Dawid Jurkiewicz; Piotr Halama; Pawel Józiak; Lukasz Garncarek; Pawel Liskowski; Karolina Szyndler; Andrzej Gretkowski; Julita Oltusek; Gabriela Nowakowska; et al. (CoRR, 2024)

A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods. - Piotr Tempczyk; Lukasz Garncarek; Dominik Filipiak; Adam Kurpisz (AAAI, 2025)