Is it indeed bigger better? The comprehensive study of claim detection LMs applied for disinformation tackling

no code implementations • 10 Nov 2023 • Martin Hyben, Sebastian Kula, Ivan Srba, Robert Moro, Jakub Simko

This study compares the performance of (1) fine-tuned models and (2) extremely large language models on the task of check-worthy claim detection.

ToyArchitecture: Unsupervised Learning of Interpretable Models of the World

1 code implementation • 20 Mar 2019 • Jaroslav Vítků, Petr Dluhoš, Joseph Davidson, Matěj Nikl, Simon Andersson, Přemysl Paška, Jan Šinkora, Petr Hlubuček, Martin Stránský, Martin Hyben, Martin Poliak, Jan Feyereisl, Marek Rosa

Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are usually uncomputable, incompatible with theories of biological intelligence, or lack practical implementations.

Model-based Reinforcement Learning