4 papers
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches
Teddy Ferdinan, BartÅomiej Koptyra, MikoÅaj Langner +42
While Reasoning Language Models (RLMs) are rapidly emerging as powerful tools for scientific research, their impact is primarily concentrated in "hard science" fields. The slow --…
Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain
PaweÅ Zyblewski, Jakub Klikowski, Weronika Borek-Marciniec +1
Tabular data is considered the last unconquered castle of deep learning, yet the task of data stream classification is stated to be an equally important and demanding research area…
How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
PaweÅ Zyblewski, Szymon Wojciechowski
The successes achieved by deep neural networks in computer vision tasks have led in recent years to the emergence of a new research area dubbed Multi-Dimensional Encoding (MDE). Me…
Structuring the Processing Frameworks for Data Stream Evaluation and Application
Joanna Komorniczak, PaweÅ Ksieniewicz, PaweÅ Zyblewski
The following work addresses the problem of frameworks for data stream processing that can be used to evaluate the solutions in an environment that resembles real-world application…