Wayne Xin Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 285

Top Venues

Publications

Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. CoRR (2024)
Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR (2024)
Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR (2024)
Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen
Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. CoRR (2024)
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. CoRR (2024)
Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. CoRR (2024)
Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR (2024)
Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
Alleviating the Long-Tail Problem in Conversational Recommender Systems. CoRR (2023)
Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
Evaluating Object Hallucination in Large Vision-Language Models. CoRR (2023)
Tianyi Tang, Hongyuan Lu, Yuchen Eleanor Jiang, Haoyang Huang, Dongdong Zhang, Wayne Xin Zhao, Furu Wei
Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing. CoRR (2023)
Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM (2023)
Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, Ji-Rong Wen
StructGPT: A General Framework for Large Language Model to Reason over Structured Data. CoRR (2023)
Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang
Continuous Trajectory Generation Based on Two-Stage GAN. CoRR (2023)
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen
The Web Can Be Your Oyster for Improving Language Models. ACL (Findings) (2023)
Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang
PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction. CoRR (2023)
Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM (2023)
Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, Haifeng Wang
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. CoRR (2023)
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
Complex Knowledge Base Question Answering: A Survey. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
Learning to Imagine: Visually-Augmented Natural Language Generation. ACL (1) (2023)
Haoyang Huang, Tianyi Tang, Dongdong Zhang, Wayne Xin Zhao, Ting Song, Yan Xia, Furu Wei
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting. CoRR (2023)
Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR (2023)
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen
A Survey of Large Language Models. CoRR (2023)
Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. WSDM (2023)
Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. CIKM (2023)
Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han
Don't Make Your LLM an Evaluation Benchmark Cheater. CoRR (2023)
Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW (2023)
Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
Multi-grained hypergraph interest modeling for conversational recommendation. AI Open 4 (2023)
Kun Zhou, Yifan Li, Wayne Xin Zhao, Ji-Rong Wen
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. CoRR (2023)
Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. CoRR (2023)
Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. CoRR (2023)
Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
Reciprocal Sequential Recommendation. CoRR (2023)
Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang
TOME: A Two-stage Approach for Model-based Retrieval. CoRR (2023)
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
A Survey on Large Language Model based Autonomous Agents. CoRR (2023)
Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR (2023)
Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. KDD (2023)
Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
Zero-shot Visual Question Answering with Language Model Feedback. ACL (Findings) (2023)
Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao
A Survey on Long Text Modeling with Transformers. CoRR (2023)
Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen
Recommendation Algorithms. ACM Trans. Inf. Syst. 41 (2) (2023)
Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Wayne Xin Zhao, Ji-Rong Wen
Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture. CoRR (2023)
Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. ACL (1) (2023)
Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu
TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat. CoRR (2023)
Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
Reciprocal Sequential Recommendation. RecSys (2023)
Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao
Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. CoRR (2023)
Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. CoRR (2023)
Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
Zero-shot Visual Question Answering with Language Model Feedback. CoRR (2023)
Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
Learning to Imagine: Visually-Augmented Natural Language Generation. CoRR (2023)
Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao
Towards Efficient and Effective Transformers for Sequential Recommendation. DASFAA (2) (2023)
Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. CoRR (2023)
Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen
RecAgent: A Novel Simulation Paradigm for Recommender Systems. CoRR (2023)
Geyang Guo, Ranchi Zhao, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. CoRR (2023)
Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
MVP: Multi-task Supervised Pre-training for Natural Language Generation. ACL (Findings) (2023)
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR (2023)
Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang
Continuous Trajectory Generation Based on Two-Stage GAN. AAAI (2023)
Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen
Visually-augmented pretrained language models for NLP tasks without images. ACL (1) (2023)
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, Wayne Xin Zhao
Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR (2023)
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Ji-Rong Wen
Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. SIGIR (2023)
Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR (2023)
Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. AAAI (2023)
Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]. CoRR (2023)
Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang
TOME: A Two-stage Approach for Model-based Retrieval. ACL (1) (2023)
Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR (2023)
Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Generative Next-Basket Recommendation. RecSys (2023)
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
Diffusion Models for Non-autoregressive Text Generation: A Survey. IJCAI (2023)
Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
RenderDiffusion: Text Generation as Image Generation. CoRR (2023)
Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao
UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction. CoRR (2023)
Kun Zhou, Hui Wang, Ji-Rong Wen, Wayne Xin Zhao
Enhancing Multi-View Smoothness for Sequential Recommendation Models. ACM Trans. Inf. Syst. 41 (4) (2023)
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR (2023)
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen
The Web Can Be Your Oyster for Improving Large Language Models. CoRR (2023)
Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. CoRR (2023)
Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. CoRR (2023)
Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou
Universal Multi-modal Multi-domain Pre-trained Recommendation. CoRR (2023)
Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
Scaling Law of Large Sequential Recommendation Models. CoRR (2023)
Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on\\ Chat-based Large Language Models. CoRR (2023)
Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. CoRR (2023)
Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chengkai Han, Wayne Xin Zhao
Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark. CoRR (2023)
Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu
TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World. ACM Multimedia (2023)
Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. CoRR (2023)
Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao
Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. NLPCC (2) (2023)
Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR (2023)
Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
Alleviating the Long-Tail Problem in Conversational Recommender Systems. RecSys (2023)
Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. CoRR (2023)
Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) (2023)
Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng
Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. CoRR (2022)
Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR (2022)
Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
Privacy-Preserved Neural Graph Similarity Learning. ICDM (2022)
Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. WSDM (2022)
Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR (2022)
Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
Privacy-Preserved Neural Graph Similarity Learning. CoRR (2022)
Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen
Leveraging Search History for Improving Person-Job Fit. CoRR (2022)
Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. CIKM (2022)
Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. CoRR (2022)
Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. CoRR (2022)
Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. CoRR (2022)
Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen
Filter-enhanced MLP is All You Need for Sequential Recommendation. WWW (2022)
Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR (2022)
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR (2022)
Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. COLING (2022)
Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wayne Xin Zhao