2 papers
cs.AI2026
Augmenting Text to Increase Translation Difficulty
William Kalikman, Šimon Sukup, Michal Tešnar +1
As state-of-the-art machine translation models saturate standard benchmarks, the field needs more challenging evaluations to distinguish between models of varying quality. We propo…
cs.AI2026
Unified Pedestrian Path Prediction Using Inverse Reinforcement Learning
Šimon Sukup, Ariyan Bighashdel, Pavol Jancura
Pedestrian path prediction is crucial for enhancing the safety of autonomous vehicles and advanced driver-assistance systems. Previous studies explored different learning-task form…