Multi-Lingual Question Generation with Language Agnostic Language Model

1 code implementation • Findings (ACL) 2021 • Bingning Wang, Ting Yao, WeiPeng Chen, Jingfang Xu, Xiaochuan Wang

Language Modelling Question Generation +1

Baichuan 2: Open Large-scale Language Models

1 code implementation • 19 Sep 2023 • Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, WeiPeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, Zhiying Wu

Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering.

Feature Engineering GSM8K

MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention

no code implementations • 3 Sep 2023 • Haoxuan Zhang, Haisheng Li, Nan Li, Xiaochuan Wang

MQENet treats the mesh evaluation task as a graph classification task for classifying the quality of the input structured mesh.

Graph Attention Graph Classification

Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification

no code implementations • 20 Aug 2023 • Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu

In the personalized branch, we integrate vectorized demographic information (i. e., age, gender, and education years) and functional connectivity networks to preserve site-specific characteristics.

Federated Learning Graph Learning +2

ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks

1 code implementation • 16 Jan 2021 • Bingning Wang, Ting Yao, WeiPeng Chen, Jingfang Xu, Xiaochuan Wang

In compositional question answering, the systems should assemble several supporting evidence from the document to generate the final answer, which is more difficult than sentence-level or phrase-level QA.

Answer Selection Machine Reading Comprehension +2

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

1 code implementation • 22 Jun 2020 • BingningWang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang

The release of ReCO consists of 300k questions that to our knowledge is the largest in Chinese reading comprehension.

Causal Inference Chinese Reading Comprehension +3