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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://dblp1.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) - [c194]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 - [c193]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 - [c192]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 - [c191]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 - [c190]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 - [c189]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 - [c188]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 - [c187]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 - [c186]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 - [c185]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 - [c184]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 - [c183]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 - [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]