Recent advances in Large Language Models (LLMs) have showcased impressive reasoning abilities in structured tasks like mathematics and programming, largely driven by Reinforcement Learning with ...

Abstract: Long-horizon contact-rich manipulation has long been a challenging problem, as it requires reasoning over both discrete contact modes and continuous object motion. We introduce Implicit ...

Abstract: Most Vision-and-Language Navigation (VLN) algorithms are prone to making inaccurate decisions due to their lack of visual common sense and limited reasoning capabilities. To address this ...

Abstract: In this paper, we propose PointRCNN for 3D object detection from raw point cloud. The whole framework is composed of two stages: stage-1 for the bottom-up 3D proposal generation and stage-2 ...

Abstract: Recently, the integration of large language models (LLMs) and knowledge graphs (KGs) is a research focal point, since they have complementary strengths and weaknesses for logical reasoning.

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...

OpenAI CEO Sam Altman has hinted at a major shift in the artificial intelligence arms race, asserting that the next generation of breakthroughs will be defined by persistent memory rather than just ...

There are many different kinds of reasoning. Some reasoning is by simple association. If you see very dark clouds coming your way, accompanied by lightning and thunder, you will probably conclude that ...

In this work, we propose a new segmentation task --- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text. We establish a benchmark ...