Pietruszka, Michał

1. Document Understanding Dataset and Evaluation (DUDE)
   2023/05/15 by Jordy Van Landeghem, Van Landeghem, Jordy, Rubèn Tito +23 · 39 citations
   Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
2. Going Full-TILT Boogie on Document Understanding with Text-Image-Layout\n Transformer
   2021/02/18 by Rafał Powalski, Łukasz Borchmann, Powalski, Rafał +9 · 12 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Video Analysis and Summarization
3. STable: Table Generation Framework for Encoder-Decoder Models
   2022/06/08 by Michał Pietruszka, Pietruszka, Michał, Michał Turski +13 · 6 citations
   Computer Science · Decision Sciences · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
4. Sparsifying Transformer Models with Trainable Representation Pooling
   2020/09/10 by Michał Pietruszka, Łukasz Borchmann, Pietruszka, Michał +3 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
5. Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
   2024/10/30 by Michał Pietruszka, Pietruszka, Michał, Łukasz Borchmann +5 · 2 citations
   Computer Science · Decision Sciences · #Research Data Management Practices #Scientific Computing and Data Management #Semantic Web and Ontologies