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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Kun Zhou (周昆)
About me
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Posts
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portfolio
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publications
Unsupervised Context Rewriting for Open Domain Conversation
Published in EMNLP-IJCNLP 2019, 2019
Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu. This paper has been implemented in Microsoft XiaoICe online dialog system.
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Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
Published in PAKDD 2020, 2020
Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu
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Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Published in KDD 2020, 2020
Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu
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S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization
Published in CIKM 2020, 2020
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen. This paper is selected as the most influential CIKM papers by Paperdigest, and has been implemented in Meituan online recommendation system.
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Leveraging historical interaction data for improving conversational recommender system
Published in CIKM 2020 Short Paper, 2020
Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
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Multi-modal knowledge graphs for recommender systems
Published in CIKM 2020, 2020
Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, Kai Zheng
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Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
Published in CIKM 2020, 2020
Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen
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Towards Topic-Guided Conversational Recommender System
Published in COLING 2020, 2020
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen
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Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension
Published in COLING 2020, 2020
Xuemiao Zhang, Kun Zhou, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Junfei Liu
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Neural Sentence Ordering Based on Constraint Graphs
Published in AAAI 2021, 2020
Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou
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Content Selection Network for Document-grounded Retrieval-based Chatbots
Published in ECIR 2021, 2020
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Zhicheng Dou
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BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
Published in Arxiv, 2021
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Shengchao Liu, Yabo Ling, Pan Du
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A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps
Published in WWW 2021, 2021
Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen. This paper has been implemented in Tencent Kuaibao online system.
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Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
Published in SIGIR 2021 short paper, 2021
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou
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CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
Published in ACL 2021 Demo Track, 2021
Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
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Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation
Published in CIKM 2021 Applied Track, 2021
Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen. This paper has been implemented in Tencent Kuaibao online system.
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Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Published in EMNLP 2021 Main Conference, 2021
Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu and Ji-Rong Wen.
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C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
Published in WSDM 2022 Regular Paper, 2021
Yuanhang Zhou* Kun Zhou*, Wayne Xin Zhao, Cheng Wang, Peng Jiang and He Hu. (* Equal Contribution)
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Filter-enhanced MLP is All You Need for Sequential Recommendation
Published in WWW 2022 Research Track, 2022
Kun Zhou*, Hui Yu*, Wayne Xin Zhao and Ji-Rong Wen. (* Equal Contribution)
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Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network
Published in ACL 2022 Main Conference, 2022
Zheng Gong*, Kun Zhou*, Xin Zhao, Jing Sha, Shijin Wang and Ji-Rong Wen. (* Equal Contribution)
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Debiased Contrastive Learning of Unsupervised Sentence Representations
Published in ACL 2022 Main Conference, 2022
Kun Zhou, Beichen Zhang, Wayne Xin Zhao and Ji-Rong Wen.
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Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation
Published in TOIS, 2022
Hui Wang*, Kun Zhou*, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen (* Equal Contribution)
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Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models
Published in NAACL 2022 Findings, 2022
Jinhao Jiang*, Kun Zhou*, Ji-Rong Wen and Wayne Xin Zhao. (* Equal Contribution)
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JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
Published in KDD 2022 ADS Track, 2022
Wayne Xin Zhao, Kun Zhou*, Zheng Gong*, Beichen Zhang*, Yuanhang Zhou*, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu and Ji-Rong Wen. (* Equal Contribution)
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Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Published in KDD 2022 Research Track, 2022
Xiaolei Wang*, Kun Zhou*, Ji-Rong Wen and Wayne Xin Zhao. (* Equal Contribution)
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SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
Published in EMNLP 2022 Industry Track, 2022
Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen.
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Enhancing Multi-View Smoothness for Sequential Recommendation Models
Published in TOIS 2023, 2023
Kun Zhou, Hui Wang, Ji-Rong Wen, Wayne Xin Zhao.
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UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Published in ICLR 2023, 2023
Jinhao Jiang*, Kun Zhou*, Wayne Xin Zhao, Ji-Rong Wen. (* Equal Contribution)
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Improving News Recommendation via Bottlenecked Multi-task Pre-training
Published in SIGIR 2023 Short Paper, 2023
Xiongfeng Xiao, Qing Li, Songlin Liu, Kun Zhou*. (* Corresponding Author)
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Diffusion Models for Non-autoregressive Text Generation: A Survey
Published in IJCAI 2023 Survey Track, 2023
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
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Visually-augmented Pretrained Language Models for NLP Tasks without Images
Published in ACL 2023, 2023
Hangyu Guo*, Kun Zhou*, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen. (* Equal Contribution)
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Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
Published in ACL 2023, 2023
Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen
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Improving Conversational Recommendation Systems via Counterfactual Data Simulation
Published in KDD 2023 Research Track, 2023
Xiaolei Wang, Kun Zhou, Xinyu Tang, Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
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JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
Published in KDD 2023 Applied Data Science Track, 2023
Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu
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MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
Published in ECML-PKDD 2023 Research Track, 2023
Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen
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Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations
Published in TASLP 2023, 2023
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Ji-Rong Wen
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Alleviating the Long-Tail Problem in Conversational Recommender Systems
Published in RecSys 2023, 2023
Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
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ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
Published in EMNLP 2023-Findings, 2023
Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen
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ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
Published in EMNLP 2023, 2023
Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
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StructGPT: A General Framework for Large Language Model to Reason over Structured Data
Published in EMNLP 2023, 2023
Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, Ji-Rong Wen
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Evaluating Object Hallucination in Large Vision-Language Models
Published in EMNLP 2023, 2023
Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
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Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Published in NeurIPS 2023, 2023
Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
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Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
Published in ACL 2024-Findings, 2024
Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li
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Improving large language models via fine-grained reinforcement learning with minimum editing constraint
Published in ACL 2024-Findings, 2024
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen
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MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Published in WWW 2024, 2024
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
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Images are Achilles’ Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
Published in ECCV 2024, 2024
Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
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Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation
Published in EACL 2024 (Evaluation and Model Insight Award), 2024
Kun Zhou, Yifan Li, Xin Zhao, Ji-Rong Wen
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Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
Published in ACL 2024, 2024
Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Wayne Xin Zhao, Fuzheng Zhang, Di Zhang, Kun Gai
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Low-Redundant Optimization for Large Language Model Alignment
Published in EMNLP 2024, 2024
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
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JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Published in NeurIPS 2024, 2024
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
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LLMBox: A Comprehensive Library for Large Language Models
Published in ACL 2024-Demo, 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
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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