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ORCIDWayne Xin Zhao
Xin Zhao 0018
Person information
- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Peking University, School of Electronics Engineering and Computer Science, China
Other persons with the same name
- Xin Zhao — disambiguation page
- Xin Zhao 0001 — Georgia Institute of Technology, Atlanta, GA, USA
- Xin Zhao 0002 — University of New South Wales, Sydney, Australia
- Xin Zhao 0003
![[0000-0003-3610-1519]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3610-1519")
— Tencent, Palo Alto, CA, USA (and 2 more) - Xin Zhao 0004 — Xi'an University of Technology, School of Economics and Management, China (and 1 more)
- Xin Zhao 0005 — University of Hanover, Geodetic Institute, Hannover, Germany
- Xin Zhao 0006 — Tianjin University, School of Electronic and Information Engineering, China
- Xin Zhao 0007 — Dalian University of Technology, School of Software, China
- Xin Zhao 0008 — Wuhan University, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan, China
- Xin Zhao 0009 — Southeast University, School of Electrical Engineering, Nanjing, China
- Xin Zhao 0010 — Nankai University, Tianjin, China
- Xin Zhao 0011 — KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
- Xin Zhao 0012 — Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent System and Engineering, Beijing, China (and 2 more)
- Xin Zhao 0013 — University of Queensland, Brisbane, Australia
- Xin Zhao 0014 — Beijing Institute of Technology, School of Information and Electronics, China
- Xin Zhao 0015 — Stony Brook University, Computer Science Department, NY, USA
- Xin Zhao 0016 — University of Michigan, USA
- Xin Zhao 0017 — University of Lille, France
- Xin Zhao 0019 — University of Sheffield, Information School, UK
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2020 – today
- 2024
[j44]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): 230:1-230:39 (2024)- [j43]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): 186345 (2024) - [j42]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): 89:1-89:60 (2024) - [j41]Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao:
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. 42(5): 135:1-135:29 (2024) - [c195]Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen:
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. ACL (1) 2024: 2430-2440 - [c194]Zhipeng Chen, Kun Zhou, Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen:
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. ACL (Findings) 2024: 5694-5711 - [c193]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. ACL (1) 2024: 5701-5715 - [c192]Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di Zhang, Kun Gai:
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. ACL (1) 2024: 9729-9750 - [c191]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. ACL (1) 2024: 10879-10899 - [c190]Yingqian Min, Kun Zhou, Dawei Gao, Xin Zhao, He Hu, Yaliang Li:
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. ACL (Findings) 2024: 13748-13761 - [c189]Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Daoyuan Wang, Hongyu Wang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao:
Sequence-level Semantic Representation Fusion for Recommender Systems. CIKM 2024: 5015-5022 - [c188]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: 2086-2099 - [c187]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. LREC/COLING 2024: 2969-2983 - [c186]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: 5174-5190 - [c185]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: 6024-6035 - [c184]Kun Zhou, Yifan Li, Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. EACL (1) 2024: 1438-1451 - [c183]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. ECCV (73) 2024: 174-189 - [c182]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: 364-381 - [c181]Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang:
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. EMNLP (Findings) 2024: 902-917 - [c180]Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen:
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. EMNLP 2024: 5613-5626 - [c179]Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen:
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. EMNLP (Findings) 2024: 12580-12592 - [c178]Xiaoxue Cheng, Junyi Li, 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. EMNLP 2024: 14600-14615 - [c177]Jie Chen, Yupeng Zhang, Bingning Wang, Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. EMNLP (Findings) 2024: 14855-14865 - [c176]Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment. EMNLP 2024: 15337-15351 - [c175]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: 1435-1448 - [c174]Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. ICLR 2024 - [c173]Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. ICML 2024 - [c172]Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen:
Rotative Factorization Machines. KDD 2024: 2912-2923 - [c171]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: 3714-3723 - [c170]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: 6596-6610 - [c169]Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Law of Large Sequential Recommendation Models. RecSys 2024: 444-453 - [c168]Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen:
Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. RecSys 2024: 918-923 - [c167]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: 1619-1628 - [c166]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: 1619-1628 - [c165]Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao:
An Integrated Data Processing Framework for Pretraining Foundation Models. SIGIR 2024: 2713-2718 - [c164]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: 1715-1718 - [c163]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: 3679-3689 - [i164]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 abs/2401.00158 (2024) - [i163]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 abs/2401.00797 (2024) - [i162]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 abs/2401.03205 (2024) - [i161]Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li:
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR abs/2401.03563 (2024) - [i160]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 abs/2401.04997 (2024) - [i159]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 abs/2401.06081 (2024) - [i158]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 abs/2402.11163 (2024) - [i157]Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao:
An Integrated Data Processing Framework for Pretraining Foundation Models. CoRR abs/2402.16358 (2024) - [i156]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. CoRR abs/2402.16438 (2024) - [i155]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 abs/2402.17497 (2024) - [i154]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 abs/2402.17505 (2024) - [i153]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 abs/2402.17564 (2024) - [i152]Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao:
Sequence-level Semantic Representation Fusion for Recommender Systems. CoRR abs/2402.18166 (2024) - [i151]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 abs/2403.04399 (2024) - [i150]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 abs/2403.09559 (2024) - [i149]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 abs/2403.09792 (2024) - [i148]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 abs/2403.13574 (2024) - [i147]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. CoRR abs/2403.14312 (2024) - [i146]Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. CoRR abs/2403.17729 (2024) - [i145]Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. CoRR abs/2403.17729 (2024) - [i144]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 abs/2404.11502 (2024) - [i143]Xinmei Huang, Haoyang Li, Jing Zhang, Xin Zhao, Zhiming Yao, Yiyan Li, Zhuohao Yu, Tieying Zhang, Hong Chen, Cuiping Li:
LLMTune: Accelerate Database Knob Tuning with Large Language Models. CoRR abs/2404.11581 (2024) - [i142]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 abs/2405.12591 (2024) - [i141]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 abs/2405.14365 (2024) - [i140]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 abs/2405.18009 (2024) - [i139]Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR abs/2405.19654 (2024) - [i138]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 abs/2406.11277 (2024) - [i137]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 abs/2406.12397 (2024) - [i136]Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Low-Redundant Optimization for Large Language Model Alignment. CoRR abs/2406.12606 (2024) - [i135]Xinming Hou, Mingming Yang, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Wayne Xin Zhao:
CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration. CoRR abs/2406.13381 (2024) - [i134]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 abs/2406.14022 (2024) - [i133]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 abs/2406.14129 (2024) - [i132]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 abs/2406.19853 (2024) - [i131]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 abs/2407.05563 (2024) - [i130]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 abs/2407.10804 (2024) - [i129]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 abs/2407.18743 (2024) - [i128]Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu:
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. CoRR abs/2408.09748 (2024) - [i127]Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao:
End-to-End Learnable Item Tokenization for Generative Recommendation. CoRR abs/2409.05546 (2024) - [i126]Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation. CoRR abs/2409.05633 (2024) - [i125]Zhipeng Chen, Liang Song, Kun Zhou, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. CoRR abs/2410.07825 (2024) - [i124]Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Wayne Xin Zhao, Ji-Rong Wen:
Neuron-based Personality Trait Induction in Large Language Models. CoRR abs/2410.12327 (2024) - [i123]Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Exploring the Design Space of Visual Context Representation in Video MLLMs. CoRR abs/2410.13694 (2024) - [i122]Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Ji-Rong Wen:
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning. CoRR abs/2410.20215 (2024) - 2023
- [j40]Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained hypergraph interest modeling for conversational recommendation. AI Open 4: 154-164 (2023) - [j39]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: 3935-3944 (2023) - [j38]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): 9181-9194 (2023) - [j37]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): 11196-11215 (2023) - [j36]Hui Wang, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. ACM Trans. Inf. Syst. 41(1): 19:1-19:28 (2023) - [j35]Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen:
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. ACM Trans. Inf. Syst. 41(2): 32:1-32:41 (2023) - [j34]Kun Zhou, Hui Wang, Ji-Rong Wen, Wayne Xin Zhao:
Enhancing Multi-View Smoothness for Sequential Recommendation Models. ACM Trans. Inf. Syst. 41(4): 107:1-107:27 (2023) - [c162]Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. AAAI 2023: 4365-4373 - [c161]Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang:
Continuous Trajectory Generation Based on Two-Stage GAN. AAAI 2023: 4374-4382 - [c160]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: 728-746 - [c159]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: 3819-3834 - [c158]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: 6102-6114 - [c157]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
MVP: Multi-task Supervised Pre-training for Natural Language Generation. ACL (Findings) 2023: 8758-8794 - [c156]Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. ACL (Findings) 2023: 9268-9281 - [c155]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: 9468-9481 - [c154]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: 14912-14929 - [c153]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: 110-119 - [c152]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM 2023: 1857-1866 - [c151]Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou:
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM 2023: 2442-2451 - [c150]Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao:
Towards Efficient and Effective Transformers for Sequential Recommendation. DASFAA (2) 2023: 341-356 - [c149]Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Evaluating Object Hallucination in Large Vision-Language Models. EMNLP 2023: 292-305 - [c148]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. EMNLP 2023: 3721-3735 - [c147]Junyi Li, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. EMNLP 2023: 6449-6464 - [c146]Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Xin Zhao, Ji-Rong Wen:
StructGPT: A General Framework for Large Language Model to Reason over Structured Data. EMNLP 2023: 9237-9251 - [c145]Xiaolei Wang, Xinyu Tang, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. EMNLP 2023: 10052-10065 - [c144]Haoyang Huang, Tianyi Tang, Dongdong Zhang, Xin Zhao, Ting Song, Yan Xia, Furu Wei:
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting. EMNLP (Findings) 2023: 12365-12394 - [c143]Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Xin Zhao, Ji-Rong Wen:
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing. EMNLP (Findings) 2023: 13771-13785 - [c142]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. EMNLP (Findings) 2023: 14777-14790 - [c141]Ruiyang Ren, Yingqi Qu, Jing Liu, Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen:
A Thorough Examination on Zero-shot Dense Retrieval. EMNLP (Findings) 2023: 15783-15796 - [c140]Jinhao Jiang, Kun Zhou, Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. ICLR 2023 - [c139]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. IJCAI 2023: 6692-6701 - [c138]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: 2398-2408 - [c137]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. KDD 2023: 5660-5672 - [c136]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: 1303-1313 - [c135]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS 2023 - [c134]Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. NeurIPS 2023 - [c133]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: 416-427 - [c132]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: 630-647 - [c131]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. RecSys 2023: 89-100 - [c130]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: 374-385 - [c129]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Generative Next-Basket Recommendation. RecSys 2023: 737-743 - [c128]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: 1376-1385 - [c127]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: 2837-2847 - [c126]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: 715-723 - [c125]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW 2023: 1162-1171 - [i121]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 abs/2301.05880 (2023) - [i120]Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang:
Continuous Trajectory Generation Based on Two-Stage GAN. CoRR abs/2301.07103 (2023) - [i119]Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction. CoRR abs/2301.07945 (2023) - [i118]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR abs/2302.02636 (2023) - [i117]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao:
A Survey on Long Text Modeling with Transformers. CoRR abs/2302.14502 (2023) - [i116]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR abs/2303.06574 (2023) - [i115]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 abs/2303.16753 (2023) - [i114]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 abs/2303.18223 (2023) - [i113]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 abs/2304.10711 (2023) - [i112]Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
RenderDiffusion: Text Generation as Image Generation. CoRR abs/2304.12519 (2023) - [i111]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 abs/2304.14343 (2023) - [i110]Kun Zhou, Yifan Li, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. CoRR abs/2305.04044 (2023) - [i109]Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR abs/2305.04798 (2023) - [i108]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 abs/2305.07001 (2023) - [i107]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 abs/2305.07004 (2023) - [i106]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. CoRR abs/2305.08845 (2023) - [i105]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 abs/2305.09645 (2023) - [i104]Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Evaluating Object Hallucination in Large Vision-Language Models. CoRR abs/2305.10355 (2023) - [i103]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 abs/2305.10998 (2023) - [i102]Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
TOME: A Two-stage Approach for Model-based Retrieval. CoRR abs/2305.11161 (2023) - [i101]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 abs/2305.11747 (2023) - [i100]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 abs/2305.13112 (2023) - [i99]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 abs/2305.14323 (2023) - [i98]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 abs/2305.15067 (2023) - [i97]Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Imagine: Visually-Augmented Natural Language Generation. CoRR abs/2305.16944 (2023) - [i96]Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. CoRR abs/2305.17006 (2023) - [i95]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 abs/2306.02408 (2023) - [i94]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 abs/2306.02552 (2023) - [i93]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 abs/2306.02842 (2023) - [i92]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 abs/2306.11027 (2023) - [i91]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. CoRR abs/2306.14712 (2023) - [i90]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 abs/2307.08072 (2023) - [i89]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 abs/2307.11019 (2023) - [i88]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 abs/2307.11650 (2023) - [i87]Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao:
Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. CoRR abs/2308.00240 (2023) - [i86]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 abs/2308.11432 (2023) - [i85]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 abs/2308.12899 (2023) - [i84]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 abs/2309.13345 (2023) - [i83]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 abs/2310.09233 (2023) - [i82]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 abs/2311.01487 (2023) - [i81]Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou:
Universal Multi-modal Multi-domain Pre-trained Recommendation. CoRR abs/2311.01831 (2023) - [i80]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 abs/2311.01964 (2023) - [i79]Geyang Guo, Ranchi Zhao, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. CoRR abs/2311.04072 (2023) - [i78]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. CoRR abs/2311.09049 (2023) - [i77]Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Law of Large Sequential Recommendation Models. CoRR abs/2311.11351 (2023) - [i76]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 abs/2311.15493 (2023) - [i75]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 abs/2311.15493 (2023) - 2022
- [j33]Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He:
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59(6): 103067 (2022) - [j32]Jingyuan Wang, Ning Wu, Wayne Xin Zhao:
Personalized Route Recommendation With Neural Network Enhanced Search Algorithm. IEEE Trans. Knowl. Data Eng. 34(12): 5910-5924 (2022) - [j31]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen:
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 6:1-6:26 (2022) - [j30]Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022) - [c124]Zheng Gong, Kun Zhou, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. ACL (1) 2022: 5923-5933 - [c123]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. ACL (1) 2022: 6120-6130 - [c122]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR 2022: 16-27 - [c121]Houxing Ren, Jingyuan Wang, Wayne Xin Zhao:
RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. CIKM 2022: 1675-1684 - [c120]Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao:
Temporal Contrastive Pre-Training for Sequential Recommendation. CIKM 2022: 1925-1934 - [c119]Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen:
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. CIKM 2022: 2923-2932 - [c118]Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao:
Multimodal Meta-Learning for Cold-Start Sequential Recommendation. CIKM 2022: 3421-3430 - [c117]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. CIKM 2022: 4722-4726 - [c116]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. COLING 2022: 3263-3273 - [c115]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. COLING 2022: 6340-6354 - [c114]Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. DASFAA (1) 2022: 38-54 - [c113]Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. EMNLP (Demos) 2022: 435-444 - [c112]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. EMNLP (Industry Track) 2022: 548-559 - [c111]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. EMNLP 2022: 1044-1058 - [c110]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200 - [c109]Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao:
A Survey of Vision-Language Pre-Trained Models. IJCAI 2022: 5436-5443 - [c108]Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang:
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. IJCNN 2022: 1-8 - [c107]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. KDD 2022: 585-593 - [c106]Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. KDD 2022: 1929-1937 - [c105]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. KDD 2022: 3327-3335 - [c104]Houxing Ren, Jingyuan Wang, Wayne Xin Zhao:
Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling. KDD 2022: 3810-3818 - [c103]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. KDD 2022: 4571-4581 - [c102]Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. NAACL-HLT (Findings) 2022: 1730-1741 - [c101]Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Xin Zhao:
Learning to Transfer Prompts for Text Generation. NAACL-HLT 2022: 3506-3518 - [c100]Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. NAACL-HLT 2022: 3519-3539 - [c99]Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. RecSys 2022: 102-112 - [c98]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. SDM 2022: 172-180 - [c97]Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao:
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR 2022: 122-132 - [c96]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: 1401-1411 - [c95]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR 2022: 1599-1610 - [c94]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR 2022: 1796-1801 - [c93]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: 1488-1496 - [c92]Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. WWW 2022: 2320-2329 - [c91]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. WWW 2022: 2388-2399 - [i74]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 abs/2201.02732 (2022) - [i73]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Pretrained Language Models Based Text Generation. CoRR abs/2201.05273 (2022) - [i72]Tianyi Tang, Junyi Li, Wayne Xin Zhao:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. CoRR abs/2201.08670 (2022) - [i71]Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. CoRR abs/2202.06200 (2022) - [i70]Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao:
A Survey of Vision-Language Pre-Trained Models. CoRR abs/2202.10936 (2022) - [i69]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. CoRR abs/2202.13556 (2022) - [i68]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. CoRR abs/2203.01104 (2022) - [i67]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022) - [i66]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 abs/2203.14232 (2022) - [i65]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR abs/2204.11067 (2022) - [i64]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen:
A Thorough Examination on Zero-shot Dense Retrieval. CoRR abs/2204.12755 (2022) - [i63]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. CoRR abs/2205.00656 (2022) - [i62]Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. CoRR abs/2205.01523 (2022) - [i61]Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Wayne Xin Zhao:
Learning to Transfer Prompts for Text Generation. CoRR abs/2205.01543 (2022) - [i60]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. CoRR abs/2205.01841 (2022) - [i59]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR abs/2205.10775 (2022) - [i58]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i57]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR abs/2206.02323 (2022) - [i56]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. CoRR abs/2206.05020 (2022) - [i55]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR abs/2206.05941 (2022) - [i54]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. CoRR abs/2206.06315 (2022) - [i53]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 abs/2206.07351 (2022) - [i52]Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. CoRR abs/2206.09363 (2022) - [i51]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
MVP: Multi-task Supervised Pre-training for Natural Language Generation. CoRR abs/2206.12131 (2022) - [i50]Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He, Ji-Rong Wen:
Multimodal foundation models are better simulators of the human brain. CoRR abs/2208.08263 (2022) - [i49]Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. CoRR abs/2208.08612 (2022) - [i48]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 abs/2208.13442 (2022) - [i47]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. CoRR abs/2210.11730 (2022) - [i46]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. CoRR abs/2210.11773 (2022) - [i45]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR abs/2210.12316 (2022) - [i44]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. CoRR abs/2210.13304 (2022) - [i43]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 abs/2211.11159 (2022) - [i42]Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen:
Dense Text Retrieval based on Pretrained Language Models: A Survey. CoRR abs/2211.14876 (2022) - [i41]Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, Yifan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen:
Recent Advances in RecBole: Extensions with more Practical Considerations. CoRR abs/2211.15148 (2022) - [i40]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. CoRR abs/2212.00959 (2022) - [i39]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. CoRR abs/2212.07841 (2022) - [i38]Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen:
Visually-augmented pretrained language models for NLP tasks without images. CoRR abs/2212.07937 (2022) - [i37]Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. CoRR abs/2212.13005 (2022) - 2021
- [j29]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:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j28]Jingyuan Wang, Ning Wu, Xinxi Lu, Wayne Xin Zhao, Kai Feng:
Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. IEEE Trans. Knowl. Data Eng. 33(3): 921-934 (2021) - [c90]Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao:
Dual Sparse Attention Network For Session-based Recommendation. AAAI 2021: 4635-4643 - [c89]Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen:
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. ACL (demo) 2021: 30-39 - [c88]Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. ACL (demo) 2021: 185-193 - [c87]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. ACL/IJCNLP (Findings) 2021: 1558-1568 - [c86]Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. ACL/IJCNLP (Findings) 2021: 2173-2183 - [c85]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen:
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. ACL/IJCNLP (1) 2021: 5388-5398 - [c84]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks. APWeb/WAIM (2) 2021: 49-63 - [c83]Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. CIKM 2021: 2231-2240 - [c82]Jingsen Zhang, Xu Chen, Wayne Xin Zhao:
Causally Attentive Collaborative Filtering. CIKM 2021: 3622-3626 - [c81]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen:
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. CIKM 2021: 3737-3746 - [c80]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:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 2021: 4653-4664 - [c79]Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen:
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. EMNLP (Findings) 2021: 1852-1861 - [c78]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. EMNLP (1) 2021: 2825-2835 - [c77]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. EMNLP (1) 2021: 3875-3887 - [c76]Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, Wayne Xin Zhao:
LibCity: An Open Library for Traffic Prediction. SIGSPATIAL/GIS 2021: 145-148 - [c75]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. IJCAI 2021: 4483-4491 - [c74]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Model for Text Generation: A Survey. IJCAI 2021: 4492-4499 - [c73]Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao:
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. KDD 2021: 2154-2164 - [c72]Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen:
Debiasing Learning based Cross-domain Recommendation. KDD 2021: 3190-3199 - [c71]Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu:
RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. KDD 2021: 3503-3511 - [c70]Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He:
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. KDD 2021: 3806-3816 - [c69]Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang:
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. NAACL-HLT 2021: 5835-5847 - [c68]Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen:
RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. NLPCC (1) 2021: 196-209 - [c67]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. SIGIR 2021: 183-192 - [c66]Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Counterfactual Data-Augmented Sequential Recommendation. SIGIR 2021: 347-356 - [c65]Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen:
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR 2021: 1733-1737 - [c64]Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021: 553-561 - [c63]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen:
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. WWW 2021: 3199-3209 - [i36]Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. CoRR abs/2101.00939 (2021) - [i35]Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen:
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. CoRR abs/2101.02046 (2021) - [i34]Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. CoRR abs/2101.03737 (2021) - [i33]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, Dan Yang 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:
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR abs/2103.06561 (2021) - [i32]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. CoRR abs/2105.03815 (2021) - [i31]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Models for Text Generation: A Survey. CoRR abs/2105.10311 (2021) - [i30]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. CoRR abs/2105.11644 (2021) - [i29]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. CoRR abs/2106.01623 (2021) - [i28]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen:
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. CoRR abs/2106.02205 (2021) - [i27]Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. CoRR abs/2106.06722 (2021) - [i26]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, 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:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i25]Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. CoRR abs/2108.06027 (2021) - [i24]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Complex Knowledge Base Question Answering: A Survey. CoRR abs/2108.06688 (2021) - [i23]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. CoRR abs/2109.05793 (2021) - [i22]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. CoRR abs/2110.07367 (2021) - [i21]Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun:
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR abs/2112.13610 (2021) - 2020
- [j27]Wayne Xin Zhao, Yupeng Hou, Junhua Chen, Jonathan J. H. Zhu, Eddy Jing Yin, Hanting Su, Ji-Rong Wen:
Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Trans. Inf. Syst. 38(2): 17:1-17:30 (2020) - [c62]Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM 2020: 65-74 - [c61]Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CIKM 2020: 735-744 - [c60]Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CIKM 2020: 1893-1902 - [c59]Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen:
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CIKM 2020: 2329-2332 - [c58]Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
Leveraging Historical Interaction Data for Improving Conversational Recommender System. CIKM 2020: 2349-2352 - [c57]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen:
Towards Topic-Guided Conversational Recommender System. COLING 2020: 4128-4139 - [c56]Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan:
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. KDD 2020: 6-14 - [c55]Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu:
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. KDD 2020: 1006-1014 - [c54]Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu:
Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. PAKDD (2) 2020: 475-486 - [c53]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. SIGIR 2020: 89-98 - [c52]Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang:
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR 2020: 209-218 - [c51]Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. WWW 2020: 740-751 - [i20]Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu:
Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. CoRR abs/2002.07397 (2020) - [i19]Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. CoRR abs/2003.12718 (2020) - [i18]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR abs/2005.10602 (2020) - [i17]Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu:
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. CoRR abs/2007.04032 (2020) - [i16]Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CoRR abs/2008.07873 (2020) - [i15]