no code implementations • Findings (EMNLP) 2021 • Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen
Knowledge Base Question Answering (KBQA) is to answer natural language questions posed over knowledge bases (KBs).
1 code implementation • 4 May 2022 • Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
Commonsense reasoning in natural language is a desired ability of artificial intelligent systems.
1 code implementation • 3 May 2022 • Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen
In this paper, we present a large-scale empirical study on general language ability evaluation of PLMs (ElitePLM).
no code implementations • 3 May 2022 • Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Wayne Xin Zhao
First, PTG learns a set of source prompts for various source generation tasks and then transfers these prompts as target prompts to perform target generation tasks.
1 code implementation • ACL 2022 • Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen
In DCLR, we design an instance weighting method to punish false negatives and generate noise-based negatives to guarantee the uniformity of the representation space.
no code implementations • 27 Apr 2022 • Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen
Recent years have witnessed the significant advance in dense retrieval (DR) based on powerful pre-trained language models (PLM).
1 code implementation • 23 Apr 2022 • Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
Session-based Recommendation (SBR) refers to the task of predicting the next item based on short-term user behaviors within an anonymous session.
no code implementations • 27 Mar 2022 • Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang song, Tao Zhang, Ji-Rong Wen
As the core technique of online recruitment platforms, person-job fit can improve hiring efficiency by accurately matching job positions with qualified candidates.
no code implementations • 22 Mar 2022 • Sha Yuan, Shuai Zhao, Jiahong Leng, Zhao Xue, Hanyu Zhao, Peiyu Liu, Zheng Gong, Wayne Xin Zhao, Junyi Li, Jie Tang
The results show that WuDaoMM can be applied as an efficient dataset for VLPMs, especially for the model in text-to-image generation task.
1 code implementation • 3 Mar 2022 • Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
In this way, we can learn adaptive representations for a given graph when paired with different graphs, and both node- and graph-level characteristics are naturally considered in a single pre-training task.
no code implementations • 2 Mar 2022 • Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen
With the decomposed MPO structure, we can reduce the parameters of the original MoE architecture by sharing a global central tensor across experts and keeping expert-specific auxiliary tensors.
1 code implementation • 28 Feb 2022 • Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen
Recently, deep neural networks such as RNN, CNN and Transformer have been applied in the task of sequential recommendation, which aims to capture the dynamic preference characteristics from logged user behavior data for accurate recommendation.
no code implementations • 18 Feb 2022 • Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao
How to adapt pre-training to the field of Vision-and-Language (V-L) learning and improve the performance on downstream tasks becomes a focus of multimodal learning.
1 code implementation • 13 Feb 2022 • Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
For the structural neighbors on the interaction graph, we develop a novel structure-contrastive objective that regards users (or items) and their structural neighbors as positive contrastive pairs.
no code implementations • 21 Jan 2022 • Tianyi Tang, Junyi Li, Wayne Xin Zhao
Secondly, to further enhance the relevance of the generated text to the inputs, we utilize continuous inverse prompting to refine the process of natural language generation by modeling an inverse generation process from output to input.
no code implementations • 14 Jan 2022 • Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
We begin with introducing three key aspects of applying PLMs to text generation: 1) how to encode the input into representations preserving input semantics which can be fused into PLMs; 2) how to design an effective PLM to serve as the generation model; and 3) how to effectively optimize PLMs given the reference text and to ensure that the generated texts satisfy special text properties.
1 code implementation • 4 Jan 2022 • Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu
To implement this framework, we design both coarse-grained and fine-grained procedures for modeling user preference, where the former focuses on more general, coarse-grained semantic fusion and the latter focuses on more specific, fine-grained semantic fusion.
1 code implementation • International Conference on Advances in Geographic Information Systems 2021 • Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, Wayne Xin Zhao
This paper presents LibCity, a unified, comprehensive, and extensible library for traffic prediction, which provides researchers with a credible experimental tool and a convenient development framework.
1 code implementation • EMNLP 2021 • Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
In this paper, we propose a novel joint training approach for dense passage retrieval and passage re-ranking.
1 code implementation • EMNLP 2021 • Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen
To solve this issue, various data augmentation techniques are proposed to improve the robustness of PLMs.
1 code implementation • 15 Aug 2021 • Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB).
1 code implementation • Findings (ACL) 2021 • Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
Recently, dense passage retrieval has become a mainstream approach to finding relevant information in various natural language processing tasks.
no code implementations • 14 Jun 2021 • Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan YAO, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved great success and become a milestone in the field of artificial intelligence (AI).
no code implementations • 12 Jun 2021 • Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in top-$N$ recommender systems, called \emph{HIN-based recommendation}.
1 code implementation • ACL 2021 • Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Z. Y. Xie, Zhong-Yi Lu, Ji-Rong Wen
This paper presents a novel pre-trained language models (PLM) compression approach based on the matrix product operator (short as MPO) from quantum many-body physics.
1 code implementation • Findings (ACL) 2021 • Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
This paper studies how to automatically generate a natural language text that describes the facts in knowledge graph (KG).
no code implementations • 25 May 2021 • Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA.
no code implementations • 21 May 2021 • Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
In this paper, we present an overview of the major advances achieved in the topic of PLMs for text generation.
no code implementations • 9 May 2021 • Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
For global coherence, we design a hierarchical self-attentive architecture with both subgraph- and node-level attention to enhance the correlations between subgraphs.
1 code implementation • 11 Mar 2021 • Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Danyang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, ShiZhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen
We further construct a large Chinese multi-source image-text dataset called RUC-CAS-WenLan for pre-training our BriVL model.
Ranked #1 on
Image-to-Text Retrieval
on AIC-ICC
1 code implementation • 11 Jan 2021 • Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
In our approach, the student network aims to find the correct answer to the query, while the teacher network tries to learn intermediate supervision signals for improving the reasoning capacity of the student network.
Ranked #1 on
Semantic Parsing
on WebQuestionsSP
1 code implementation • ACL 2021 • Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen
In this paper, we release an open-source library, called TextBox, to provide a unified, modularized, and extensible text generation framework.
1 code implementation • ACL 2021 • Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
In recent years, conversational recommender system (CRS) has received much attention in the research community.
1 code implementation • 3 Nov 2020 • Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.
1 code implementation • NAACL 2021 • Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, daxiang dong, Hua Wu, Haifeng Wang
In open-domain question answering, dense passage retrieval has become a new paradigm to retrieve relevant passages for finding answers.
Ranked #3 on
Passage Retrieval
on Natural Questions
no code implementations • 9 Oct 2020 • Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
Top-N item recommendation has been a widely studied task from implicit feedback.
2 code implementations • COLING 2020 • Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen
To develop an effective CRS, the support of high-quality datasets is essential.
1 code implementation • 4 Oct 2020 • Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
First, based on graph capsules, we adaptively learn aspect capsules for inferring the aspect sequence.
no code implementations • 25 Sep 2020 • Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang song, Tao Zhang, Ji-Rong Wen
Compared with pure text-based matching models, the proposed approach is able to learn better data representations from limited or even sparse interaction data, which is more resistible to noise in training data.
no code implementations • 19 Aug 2020 • Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
Most of the existing CRS methods focus on learning effective preference representations for users from conversation data alone.
2 code implementations • 18 Aug 2020 • Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
To tackle this problem, we propose the model S^3-Rec, which stands for Self-Supervised learning for Sequential Recommendation, based on the self-attentive neural architecture.
4 code implementations • 8 Jul 2020 • Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu
Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations.
2 code implementations • 21 May 2020 • Ruiyang Ren, Zhao-Yang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
Recently, deep learning has made significant progress in the task of sequential recommendation.
4 code implementations • 28 Mar 2020 • Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen
Our generator is isolated from user interaction data, and serves to improve the performance of the discriminator.
no code implementations • 18 Feb 2020 • Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu
Open-domain retrieval-based dialogue systems require a considerable amount of training data to learn their parameters.
no code implementations • IJCNLP 2019 • Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen
An important kind of data signals, peer review text, has not been utilized for the CCP task.
no code implementations • IJCNLP 2019 • Shuqing Bian, Wayne Xin Zhao, Yang song, Tao Zhang, Ji-Rong Wen
Furthermore, we extend the match network and implement domain adaptation in three levels, sentence-level representation, sentence-level match, and global match.
no code implementations • 19 Jul 2019 • Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin
To address these issues, we propose using neural networks to automatically learn the cost functions of a classic heuristic algorithm, namely A* algorithm, for the PRR task.
1 code implementation • ACL 2019 • Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang song
In this paper, we propose a novel review generation model by characterizing an elaborately designed aspect-aware coarse-to-fine generation process.
no code implementations • 12 Feb 2019 • Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie
Recommending the right products is the central problem in recommender systems, but the right products should also be recommended at the right time to meet the demands of users, so as to maximize their values.
1 code implementation • 30 Jul 2018 • Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
Based on our linked dataset, we first preform some interesting qualitative analysis experiments, in which we discuss the effect of two important factors (i. e. popularity and recency) on whether a RS item can be linked to a KB entity.
2 code implementations • ACL 2018 • Xiangyang Zhou, Lu Li, daxiang dong, Yi Liu, Ying Chen, Wayne Xin Zhao, dianhai yu, Hua Wu
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.
Ranked #6 on
Conversational Response Selection
on RRS
1 code implementation • ACL 2018 • Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, Haisong Zhang
Hypertext documents, such as web pages and academic papers, are of great importance in delivering information in our daily life.
1 code implementation • 29 Nov 2017 • Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
In this paper, we propose a novel heterogeneous network embedding based approach for HIN based recommendation, called HERec.
Social and Information Networks
1 code implementation • 6 Feb 2015 • Wayne Xin Zhao, Xu-Dong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen
Compression algorithms are important for data oriented tasks, especially in the era of Big Data.