no code implementations • 2 Feb 2024 • Xuhui Jiang, Yuxing Tian, Fengrui Hua, Chengjin Xu, Yuanzhuo Wang, Jian Guo
Hallucinations in large language models (LLMs) are always seen as limitations.
no code implementations • 27 Oct 2023 • Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang
This survey presents a comprehensive overview of natural language interfaces for tabular data querying and visualization, which allow users to interact with data using natural language queries.
no code implementations • 12 Apr 2023 • Yuxing Tian, Mingjie Zhu, Jiachi Luo, Song Li
This study focuses on long-term forecasting (LTF) on continuous-time dynamic graph networks (CTDGNs), which is important for real-world modeling.
no code implementations • 22 Nov 2022 • Song Li, Jiandong Zhou, Chong Mo, Jin Li, Geoffrey K. F. Tso, Yuxing Tian
Whereas in this study, we consider the evolving nature of cryptocurrency networks, and use local structural as well as the balance theory to guide the training process.
no code implementations • 27 Oct 2022 • Yuxing Tian, Zheng Liu, Yanwen Qu, Song Li, Jiachi Luo
This paper proposes a new GNN-oriented split federated learning method, named node {\bfseries M}asking and {\bfseries M}ulti-granularity {\bfseries M}essage passing-based Federated Graph Model (M$^3$FGM) for the above issues.