2 papers
cs.CL2024
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification
Jeremie Bogaert, Marie-Catherine de Marneffe, Antonin Descampe +3
Large language models (LLMs) perform very well in several natural language processing tasks but raise explainability challenges. In this paper, we examine the effect of random elem…
eess.IV2020
Sensor-aided block matching algorithm for translational motion estimation through a depth map
Karim El Khoury, Pascal Pellegrin, Antonin Descampe +2
A large number of cameras embedded on smart-phones, drones or inside cars have a direct access to external motion sensing from gyroscopes and accelerometers. On these power-limited…