Michal Pietruszka

According to our database, Michal Pietruszka authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists.

Michal Pietruszka, Lukasz Borchmann, Aleksander Jedrosz, Pawel Morawiecki

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

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, Artur Zawlocki, Lukasz Duhr, Pawel Dyda, Michal Turski

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

STable: Table Generation Framework for Encoder-Decoder Models.

Michal Pietruszka, Michal Turski, Lukasz Borchmann, Tomasz Dwojak, Gabriela Nowakowska, Karolina Szyndler, Dawid Jurkiewicz, Lukasz Garncarek

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE).

Jordy Van Landeghem, Rubèn Tito, Lukasz Borchmann, Michal Pietruszka, Dawid Jurkiewicz, Rafal Powalski, Pawel Józiak, Sanket Biswas, Mickaël Coustaty, Tomasz Stanislawek

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Document Understanding Dataset and Evaluation (DUDE).

Jordy Van Landeghem, Rafal Powalski, Rubèn Tito, Dawid Jurkiewicz, Matthew B. Blaschko, Lukasz Borchmann, Mickaël Coustaty, Sien Moens, Michal Pietruszka, Bertrand Anckaert, Tomasz Stanislawek, Pawel Józiak, Ernest Valveny

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Sparsifying Transformer Models with Trainable Representation Pooling.

Michal Pietruszka, Lukasz Borchmann, Lukasz Garncarek

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

DUE: End-to-End Document Understanding Benchmark.

Lukasz Borchmann, Michal Pietruszka, Tomasz Stanislawek, Dawid Jurkiewicz, Michal Turski, Karolina Szyndler, Filip Gralinski

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer.

Rafal Powalski, Lukasz Borchmann, Dawid Jurkiewicz, Tomasz Dwojak, Michal Pietruszka, Gabriela Palka

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Successive Halving Top-k Operator.

Michal Pietruszka, Lukasz Borchmann, Filip Gralinski

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sparsifying Transformer Models with Differentiable Representation Pooling.

Michal Pietruszka, Lukasz Borchmann, Filip Gralinski

CoRR, 2020

On the Multi-Property Extraction and Beyond.

Tomasz Dwojak, Michal Pietruszka, Lukasz Borchmann, Filip Gralinski, Jakub Chledowski

CoRR, 2020

From Dataset Recycling to Multi-Property Extraction and Beyond.

Tomasz Dwojak, Michal Pietruszka, Lukasz Borchmann, Jakub Chledowski, Filip Gralinski

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020