1 code implementation • 25 Oct 2023 • Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, Bing Qin
In this paper, we evaluate different abilities of GPT-4V including visual understanding, language understanding, visual puzzle solving, and understanding of other modalities such as depth, thermal, video, and audio.
no code implementations • 19 Aug 2023 • Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang
Despite Graph Neural Networks demonstrating considerable promise in graph representation learning tasks, GNNs predominantly face significant issues with over-fitting and over-smoothing as they go deeper as models of computer vision realm.
1 code implementation • 5 May 2023 • Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin
Specifically, we construct the state transition graph with a two-step way, named transit-then-interact, to grasp such three types of turn-level transition information.
no code implementations • 19 Apr 2023 • Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, Bing Qin
This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI.
no code implementations • 17 Jul 2020 • Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu
LDA is a statistical approach for topic modeling with a wide range of applications.