The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...

Abstract: Deep neural networks (DNN) are widely used in various fields and get great success, but one of the major challenges is interpretable mechanism of DNN model. In order to break through the ...

Abstract: There have been recent efforts to learn more meaningful representations via fixed length codewords from mesh data, since a mesh serves as a complete model of underlying 3D shape compared to ...