2 papers
cs.SE2026
CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
Lintang Sutawika, Aditya Bharat Soni, Bharath Sriraam R R +8
A prerequisite for coding agents to perform tasks on large repositories is code localization - the identification of relevant files, classes, and functions to work on. While reposi…
cs.NI2022
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet +1
Channel charting is an unsupervised learning method that aims at mapping wireless channels to a so-called chart, preserving as much as possible spatial neighborhoods. In this paper…