Papers by Mikołaj Koszowski
Evaluation of Transfer Learning for Polish with a Text-to-Text Model (2022.lrec-1)
Copied to clipboard
Aleksandra Chrabrowa, Łukasz Dragan, Karol Grzegorczyk, Dariusz Kajtoch, Mikołaj Koszowski, Robert Mroczkowski, Piotr Rybak
| Challenge: | Recent years have brought significant progress in natural language understanding (NLU) and natural language generation (NLG). |
| Approach: | They propose a benchmark for assessing the quality of text-to-text models for Polish . they evaluate the performance of plT5, mT5, Polish BART, and Polish GPT-2 . |
| Outcome: | The proposed model can be fine-tuned on various NLP tasks with a single training objective. |
ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT (2025.acl-short)
Copied to clipboard
| Challenge: | Neural Machine Translation (NMT) has improved translation by using Transformer-based models, but still struggles with word ambiguity and context. |
| Approach: | They create a new Czech-to-polish e-commerce product translation dataset coupled with images and product metadata consisting of 11,400 sentence pairs. |
| Outcome: | The proposed model incorporates visual cues alongside textual data to improve translation quality. |