no code implementations • EMNLP 2021 • Ziao Wang, Xiaofeng Zhang, Hongwei Du
These directed subgraphs are considered to well preserve extra but relevant content to the short input text, and then they are decoded by the employed pre-trained model to generate coherent long text.
no code implementations • 7 Sep 2023 • Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
We consider the problem of computing a function of $n$ variables using noisy queries, where each query is incorrect with some fixed and known probability $p \in (0, 1/2)$.
no code implementations • 31 Jul 2023 • Ziao Wang, Jianning Wang, Junda Wu, Xiaofeng Zhang
At the beginning era of large language model, it is quite critical to generate a high-quality financial dataset to fine-tune a large language model for financial related tasks.
1 code implementation • 31 Jul 2023 • Ziao Wang, Yuhang Li, Junda Wu, Jaehyeon Soon, Xiaofeng Zhang
In this paper, we propose FinVis-GPT, a novel multimodal large language model (LLM) specifically designed for financial chart analysis.
no code implementations • 21 Jun 2023 • Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
However, the upper and lower bounds do not match in terms of the dependence on $\delta$ and $p$.
1 code implementation • 15 Jun 2023 • Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
In addition to providing a standardized means of assessing performance, PINNacle also offers an in-depth analysis to guide future research, particularly in areas such as domain decomposition methods and loss reweighting for handling multi-scale problems and complex geometry.
no code implementations • 13 Apr 2021 • Shiyi Chen, Ziao Wang, Xinni Zhang, Xiaofeng Zhang, Dan Peng
Graph representation learning has long been an important yet challenging task for various real-world applications.
no code implementations • 23 Oct 2020 • Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang
Particularly, we choose Bi-GRU as the encoder and decoder component of CVAE, and learn the latent variable distribution from input news.