Wayne Xin Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 321

Top Venues

Publications

Tianyi Tang, Hongyuan Lu, Yuchen Jiang, Haoyang Huang, Dongdong Zhang, Wayne Xin Zhao, Tom Kocmi, Furu Wei
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References. NAACL-HLT (2024)
Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. CoRR (2024)
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)
Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation. CoRR (2024)
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. LREC/COLING (2024)
Xinming Hou, Mingming Yang, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Wayne Xin Zhao
CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration. CoRR (2024)
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. 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)
Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR (2024)
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
Large Language Models are Zero-Shot Rankers for Recommender Systems. ECIR (2) (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)
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. WWW (2024)
Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR (2024)
Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. LREC/COLING (2024)
Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. CoRR (2024)
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. LREC/COLING (2024)
Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR (2024)
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, Jirong Wen
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18 (6) (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)
Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. CoRR (2024)
Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen
YuLan: An Open-source Large Language Model. CoRR (2024)
Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao
Sequence-level Semantic Representation Fusion for Recommender Systems. CoRR (2024)
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
Low-Redundant Optimization for Large Language Model Alignment. CoRR (2024)
Jie Chen, Yupeng Zhang, Bingning Wang, Wayne Xin Zhao, Ji-Rong Wen, Weipeng Chen
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. CoRR (2024)
Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Ji-Rong Wen
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. CoRR (2024)
Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao
An Integrated Data Processing Framework for Pretraining Foundation Models. CoRR (2024)
Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen
Rotative Factorization Machines. KDD (2024)
Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingbing Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen
Exploring Context Window of Large Language Models via Decomposed Positional Vectors. 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)
Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, Ji-Rong Wen
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. CoRR (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. CoRR (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) (2024)
Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. KDD (2024)
Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao
An Integrated Data Processing Framework for Pretraining Foundation Models. SIGIR (2024)
Yushuo Chen, Tianyi Tang, Erge Xiang, Linjiang Li, Wayne Xin Zhao, Jing Wang, Yunpeng Chai, Ji-Rong Wen
Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models. CoRR (2024)
Yifan Du, Kun Zhou, Yuqi Huo, Yifan Li, Wayne Xin Zhao, Haoyu Lu, Zijia Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
Towards Event-oriented Long Video Understanding. CoRR (2024)
Tianyi Tang, Yiwen Hu, Bingqian Li, Wenyang Luo, Zijing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Yuanqian Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
LLMBox: A Comprehensive Library for Large Language Models. CoRR (2024)
Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. LREC/COLING (2024)
Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. CoRR (2024)
Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. ICDE (2024)
Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR (2024)
Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen
Dense Text Retrieval Based on Pretrained Language Models: A Survey. ACM Trans. Inf. Syst. 42 (4) (2024)
Jinhao Jiang, Junyi Li, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. CoRR (2024)
Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. CoRR (2024)
Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. SIGIR (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)
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
Pre-Trained Language Models for Text Generation: A Survey. ACM Comput. Surv. 56 (9) (2024)
Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. 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)

Wayne Xin Zhao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Wayne Xin Zhao