フォロー
Michał Pietruszka
Michał Pietruszka
Jagiellonian University, Snowflake
確認したメール アドレス: doctoral.uj.edu.pl
タイトル
引用先
引用先
年
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer
R Powalski, Ł Borchmann, D Jurkiewicz, T Dwojak, M Pietruszka, G Pałka
ICDAR 2021, 2021
1782021
DUE: End-to-End Document Understanding Benchmark
Ł Borchmann, M Pietruszka, T Stanislawek, D Jurkiewicz, M Turski, ...
NeurIPS 2021, 2021
602021
Document understanding dataset and evaluation (dude)
J Van Landeghem, R Tito, Ł Borchmann, M Pietruszka, P Joziak, ...
ICCV 2023, 2023
512023
Stable: Table generation framework for encoder-decoder models
M Pietruszka, M Turski, Ł Borchmann, T Dwojak, G Pałka, K Szyndler, ...
EACL 2024, 2022
152022
From Dataset Recycling to Multi-Property Extraction and Beyond
T Dwojak, M Pietruszka, Ł Borchmann, F Graliński, J Chłędowski
CoNLL 2020, 641-651, 2020
102020
Sparsifying Transformer Models with Trainable Representation Pooling
M Pietruszka, Ł Borchmann, Ł Garncarek
ACL 2022, 8616–8633, 2022
92022
ICDAR 2023 competition on document understanding of everything (DUDE)
J Van Landeghem, R Tito, Ł Borchmann, M Pietruszka, D Jurkiewicz, ...
ICDAR 2023, 420-434, 2023
72023
Successive Halving Top-k Operator
M Pietruszka, Ł Borchmann, F Graliński
AAAI 2021, 2020
72020
Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
M Pietruszka, Ł Borchmann, A Jędrosz, P Morawiecki
arXiv preprint arXiv:2410.23331, 2024
2024
Arctic-TILT. Business Document Understanding at Sub-Billion Scale
Ł Borchmann, M Pietruszka, W Jaśkowski, D Jurkiewicz, P Halama, ...
arXiv preprint arXiv:2408.04632, 2024
2024
STable Permutation-based Framework for Table Generation in Sequence-to-Sequence Models
M Pietruszka, M Turski, Ł Borchmann, T Dwojak, G Pałka, K Szyndler, ...
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 0
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