no code implementations • COLING 2022 • Ruixue Liu, Shaozu Yuan, Aijun Dai, Lei Shen, Tiangang Zhu, Meng Chen, Xiaodong He
Since there is no large number of public Chinese tables, we also collect a large-scale, multi-domain tabular corpus to facilitate future Chinese table pre-training, which includes one million tables and related natural language text with auxiliary supervised interaction signals.
no code implementations • Findings (EMNLP) 2021 • Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie zhou
To address the above issues, we propose a dual-generative model, Dual-Emp, to simultaneously construct the emotional consensus and utilize some external unpaired data.
no code implementations • EMNLP 2021 • Haolan Zhan, Lei Shen, Hongshen Chen, Hainan Zhang
Knowledge-grounded dialogue generation has achieved promising performance with the engagement of external knowledge sources.
1 code implementation • 30 Mar 2023 • Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang
Large pre-trained code generation models, such as OpenAI Codex, can generate syntax- and function-correct code, making the coding of programmers more productive and our pursuit of artificial general intelligence closer.
Ranked #11 on Code Generation on HumanEval
1 code implementation • 4 Mar 2023 • Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji
Specifically, DistilPose maximizes the transfer of knowledge from the teacher model (heatmap-based) to the student model (regression-based) through Token-distilling Encoder (TDE) and Simulated Heatmaps.
no code implementations • 5 Feb 2023 • Zhaoshan Liu, Lei Shen
To relieve model performance limitations due to the lack of global (local) features, we develop a novel classification network CECT by controllable ensemble CNN and transformer.
no code implementations • 22 Jan 2023 • Lijie Hu, Ivan Habernal, Lei Shen, Di Wang
In this paper, we provide the first systematic review of recent advances on DP deep learning models in NLP.
no code implementations • 30 Nov 2022 • Hao Zhang, Nan Zhang, Ruixin Zhang, Lei Shen, Yingyi Zhang, Meng Liu
The existing graph methods have demonstrated that 3D geometric information is significant for better performance in MPP.
no code implementations • 27 Nov 2022 • Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li
Multimodal named entity recognition (MNER) is a critical step in information extraction, which aims to detect entity spans and classify them to corresponding entity types given a sentence-image pair.
no code implementations • 13 Aug 2022 • Zhaoshan Liu, Qiujie Lv, Ziduo Yang, YiFan Li, Chau Hung Lee, Lei Shen
In this review, we first recap the core component of the transformer, the attention mechanism, and the detailed structures of the transformer.
no code implementations • 11 Mar 2022 • Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang, Ruixin Zhang, Shouhong Ding, Wei Jia, Wei Shen
In this paper, by observing that palmar creases are the key information to deep-learning-based palmprint recognition, we propose to synthesize training data by manipulating palmar creases.
no code implementations • 11 Mar 2022 • Zhaoshan Liu, Qiujie Lv, Chau Hung Lee, Lei Shen
The GSDA is composed of the GAN and Convolutional Neural Network (CNN), in which GAN synthesizes and pseudo-labeled the US images with high resolution and high quality, and both real and synthesized images are employed to train CNN.
no code implementations • 16 Sep 2021 • Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie zhou
To address the above issues, we propose a dual-generative model, Dual-Emp, to simultaneously construct the emotion consensus and utilize some external unpaired data.
no code implementations • 14 Sep 2021 • Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu
The training method updates parameters of a trained NCMs on two small sets with newly maintained and removed samples, respectively.
no code implementations • 13 Sep 2021 • Lei Shen, Haolan Zhan, Xin Shen, Yonghao Song, Xiaofang Zhao
Specifically, we obtain a group of images (PVIs) for each post based on a pre-trained word-image mapping model.
no code implementations • ACL 2021 • Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie zhou
Generating some appealing questions in open-domain conversations is an effective way to improve human-machine interactions and lead the topic to a broader or deeper direction.
no code implementations • 2 Mar 2021 • Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan
To tackle this problem, we propose an adaptive posterior network based on Transformer architecture that can utilize user-cared information from customer reviews.
no code implementations • 18 Feb 2021 • Lei Shen, Haolan Zhan, Xin Shen, Yang Feng
Open-domain multi-turn conversations mainly have three features, which are hierarchical semantic structure, redundant information, and long-term dependency.
no code implementations • 16 Feb 2021 • Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin
A simple and effective way is to extract keywords directly from the knowledge-base of products, i. e., attributes or title, as the recommendation reason.
no code implementations • 4 May 2020 • Lei Shen, XIAOYU GUO, Meng Chen
Thus, it requires more to control the coherence and improve the novelty.
no code implementations • ACL 2020 • Lei Shen, Yang Feng
Emotion-controllable response generation is an attractive and valuable task that aims to make open-domain conversations more empathetic and engaging.
no code implementations • LREC 2020 • Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bo-Wen Zhou
Human conversations are complicated and building a human-like dialogue agent is an extremely challenging task.
no code implementations • 9 Sep 2019 • Wujun Shi, Benjamin J. Wieder, H. L. Meyerheim, Yan Sun, Yang Zhang, Yiwei Li, Lei Shen, Yanpeng Qi, Lexian Yang, Jagannath Jena, Peter Werner, Klaus Koepernik, Stuart Parkin, Yulin Chen, Claudia Felser, B. Andrei Bernevig, Zhijun Wang
We here demonstrate that the room-temperature phase of (TaSe$_4$)$_2$I is a Weyl semimetal with 24 pairs of Weyl nodes.
Band Gap Materials Science Strongly Correlated Electrons
no code implementations • 23 Jun 2019 • Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song
In many applications, a similar MIP model is solved on a regular basis, maintaining remarkable similarities in model structures and solution appearances but differing in formulation coefficients.
no code implementations • ACL 2019 • Lei Shen, Yang Feng, Haolan Zhan
Multi-turn conversations consist of complex semantic structures, and it is still a challenge to generate coherent and diverse responses given previous utterances.
no code implementations • 10 Apr 2019 • Jun Zhou, Yuan Ping Feng, Lei Shen
We report intrinsic ferromagnetism in monolayer electrides or electrenes, in which excess electrons act as anions.
Computational Physics Materials Science
no code implementations • EMNLP 2018 • Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu
Although neural machine translation has achieved promising results, it suffers from slow translation speed.
no code implementations • 29 Sep 2016 • Lei Shen, Junlin Zhang
Recurrent Neural Networks have achieved state-of-the-art results for many problems in NLP and two most popular RNN architectures are Tail Model and Pooling Model.