Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. - Shuqing Bian; Xu Chen 017; Wayne Xin Zhao; Kun Zhou 002; Yupeng Hou; Yang Song 021; Tao Zhang 070; Ji-Rong Wen (CIKM, 2020)

Multi-modal Knowledge Graphs for Recommender Systems. - Rui Sun; Xuezhi Cao; Yan Zhao 008; Junchen Wan; Kun Zhou 002; Fuzheng Zhang; Zhongyuan Wang 006; Kai Zheng 001 (CIKM, 2020)

S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. - Kun Zhou 002; Hui Wang 072; Wayne Xin Zhao; Yutao Zhu 001; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Ji-Rong Wen (CIKM, 2020)

Leveraging Historical Interaction Data for Improving Conversational Recommender System. - Kun Zhou 002; Wayne Xin Zhao; Hui Wang 072; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Ji-Rong Wen (CIKM, 2020)

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension. - Xuemiao Zhang; Kun Zhou 002; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Junfei Liu (COLING, 2020)

Towards Topic-Guided Conversational Recommender System. - Kun Zhou 002; Yuanhang Zhou; Wayne Xin Zhao; Xiaoke Wang; Ji-Rong Wen (COLING, 2020)

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. - Kun Zhou 002; Wayne Xin Zhao; Shuqing Bian; Yuanhang Zhou; Ji-Rong Wen; Jingsong Yu (KDD, 2020)

Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. - Kun Zhou 002; Wayne Xin Zhao; Yutao Zhu 001; Ji-Rong Wen; Jingsong Yu (PAKDD (2), 2020)

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. - Kun Zhou 002; Hui Wang 072; Wayne Xin Zhao; Yutao Zhu 001; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Ji-Rong Wen (CoRR, 2020)

Neural Sentence Ordering Based on Constraint Graphs. - Yutao Zhu 001; Kun Zhou 002; Jian-Yun Nie; Shengchao Liu; Zhicheng Dou (AAAI, 2021)

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. - Kun Zhou 002; Xiaolei Wang 005; Yuanhang Zhou; Chenzhan Shang; Yuan Cheng; Wayne Xin Zhao; Yaliang Li; Ji-Rong Wen (ACL (demo), 2021)

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. - Shuqing Bian; Wayne Xin Zhao; Kun Zhou 002; Jing Cai; Yancheng He; Cunxiang Yin; Ji-Rong Wen (CIKM, 2021)

Content Selection Network for Document-Grounded Retrieval-Based Chatbots. - Yutao Zhu 001; Jian-Yun Nie; Kun Zhou 002; Pan Du 001; Zhicheng Dou (ECIR (1), 2021)

Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. - Kun Zhou 002; Wayne Xin Zhao; Sirui Wang; Fuzheng Zhang; Wei Wu 014; Ji-Rong Wen (EMNLP (1), 2021)

Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. - Yutao Zhu 001; Jian-Yun Nie; Kun Zhou 002; Pan Du 001; Hao Jiang 022; Zhicheng Dou (SIGIR, 2021)

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. - Shuqing Bian; Wayne Xin Zhao; Kun Zhou 002; Xu Chen 017; Jing Cai; Yancheng He; Xingji Luo; Ji-Rong Wen (WWW, 2021)

BERT4SO: Neural Sentence Ordering by Fine-tuning BERT. - Yutao Zhu 001; Jian-Yun Nie; Kun Zhou 002; Shengchao Liu; Pan Du 001 (CoRR, 2021)

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. - Hui Wang 072; Kun Zhou 002; Wayne Xin Zhao; Jingyuan Wang 001; Ji-Rong Wen (CoRR, 2021)

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. - Yuan Yao 013; Qingxiu Dong; Jian Guan 002; Boxi Cao; Zhengyan Zhang; Chaojun Xiao; Xiaozhi Wang; Fanchao Qi; Junwei Bao 001; Jinran Nie; Zheni Zeng; Yuxian Gu; et al. (CoRR, 2021)

Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. - Zheng Gong 001; Kun Zhou 002; Wayne Xin Zhao; Jing Sha; Shijin Wang 001; Ji-Rong Wen (ACL (1), 2022)

Debiased Contrastive Learning of Unsupervised Sentence Representations. - Kun Zhou 002; Beichen Zhang; Wayne Xin Zhao; Ji-Rong Wen (ACL (1), 2022)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan (EMNLP (Industry Track), 2022)

Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. - Daoguang Zan; Sirui Wang; Hongzhi Zhang; Kun Zhou 002; Wei Wu 014; Wayne Xin Zhao; Bingchao Wu; Bei Guan; Yongji Wang 002 (IJCNN, 2022)

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. - Xiaolei Wang 005; Kun Zhou 002; Ji-Rong Wen; Wayne Xin Zhao (KDD, 2022)

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. - Wayne Xin Zhao; Kun Zhou 002; Zheng Gong 001; Beichen Zhang; Yuanhang Zhou; Jing Sha; Zhigang Chen 003; Shijin Wang 001; Cong Liu 006; Ji-Rong Wen (KDD, 2022)

$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. - Jinhao Jiang; Kun Zhou 002; Ji-Rong Wen; Wayne Xin Zhao (NAACL-HLT (Findings), 2022)

C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. - Yuanhang Zhou; Kun Zhou 002; Wayne Xin Zhao; Cheng Wang; Peng Jiang; He Hu 001 (WSDM, 2022)

Filter-enhanced MLP is All You Need for Sequential Recommendation. - Kun Zhou 002; Hui Yu; Wayne Xin Zhao; Ji-Rong Wen (WWW, 2022)

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. - Yuanhang Zhou; Kun Zhou 002; Wayne Xin Zhao; Cheng Wang; Peng Jiang; He Hu 001 (CoRR, 2022)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan; Weizhu Chen (CoRR, 2022)

Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. - Ze-Feng Gao; Kun Zhou 002; Peiyu Liu 002; Wayne Xin Zhao; Ji-Rong Wen (ACL (1), 2023)

Visually-augmented pretrained language models for NLP tasks without images. - Hangyu Guo; Kun Zhou 002; Wayne Xin Zhao; Qinyu Zhang 001; Ji-Rong Wen (ACL (1), 2023)

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. - Zhipeng Chen 001; Kun Zhou 002; Beichen Zhang; Zheng Gong 001; Xin Zhao 018; Ji-Rong Wen (EMNLP (Findings), 2023)

StructGPT: A General Framework for Large Language Model to Reason over Structured Data. - Jinhao Jiang; Kun Zhou 002; Zican Dong; Keming Ye; Xin Zhao 018; Ji-Rong Wen (EMNLP, 2023)

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. - Jinhao Jiang; Kun Zhou 002; Wayne Xin Zhao; Yaliang Li; Ji-Rong Wen (EMNLP, 2023)

Evaluating Object Hallucination in Large Vision-Language Models. - Yifan Li 009; Yifan Du 002; Kun Zhou 002; Jinpeng Wang 001; Wayne Xin Zhao; Ji-Rong Wen (EMNLP, 2023)

UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. - Jinhao Jiang; Kun Zhou 002; Xin Zhao 018; Ji-Rong Wen (ICLR, 2023)

Diffusion Models for Non-autoregressive Text Generation: A Survey. - Yifan Li 009; Kun Zhou 002; Wayne Xin Zhao; Ji-Rong Wen (IJCAI, 2023)

Improving Conversational Recommendation Systems via Counterfactual Data Simulation. - Xiaolei Wang 005; Kun Zhou 002; Xinyu Tang 004; Wayne Xin Zhao; Fan Pan; Zhao Cao; Ji-Rong Wen (KDD, 2023)

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. - Xin Zhao 018; Kun Zhou 002; Beichen Zhang; Zheng Gong 001; Zhipeng Chen 001; Yuanhang Zhou; Ji-Rong Wen; Jing Sha; Shijin Wang 001; Cong Liu 006; Guoping Hu (KDD, 2023)

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. - Beichen Zhang; Kun Zhou 002; Xilin Wei; Xin Zhao 018; Jing Sha; Shijin Wang 001; Ji-Rong Wen (NeurIPS, 2023)

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. - Kun Zhou 002; Xiao Liu 029; Yeyun Gong; Wayne Xin Zhao; Daxin Jiang; Nan Duan; Ji-Rong Wen (ECML/PKDD (2), 2023)

Alleviating the Long-Tail Problem in Conversational Recommender Systems. - Zhipeng Zhao; Kun Zhou 002; Xiaolei Wang 005; Wayne Xin Zhao; Fan Pan; Zhao Cao; Ji-Rong Wen (RecSys, 2023)

Improving News Recommendation via Bottlenecked Multi-task Pre-training. - Xiongfeng Xiao; Qing Li 048; Songlin Liu; Kun Zhou 002 (SIGIR, 2023)

A Survey of Large Language Models. - Wayne Xin Zhao; Kun Zhou 002; Junyi Li; Tianyi Tang; Xiaolei Wang 005; Yupeng Hou; Yingqian Min; Beichen Zhang; Junjie Zhang 009; Zican Dong; Yifan Du 002; Chen Yang; et al. (CoRR, 2023)

Don't Make Your LLM an Evaluation Benchmark Cheater. - Kun Zhou 002; Yutao Zhu 001; Zhipeng Chen 001; Wentong Chen; Wayne Xin Zhao; Xu Chen 017; Yankai Lin; Ji-Rong Wen; Jiawei Han (CoRR, 2023)

Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations. - Kun Zhou 002; Yuanhang Zhou; Wayne Xin Zhao; Ji-Rong Wen (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. - Hui Wang 072; Kun Zhou 002; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (ACM Trans. Inf. Syst., 2023)

Enhancing Multi-View Smoothness for Sequential Recommendation Models. - Kun Zhou 002; Hui Wang 072; Ji-Rong Wen; Wayne Xin Zhao (ACM Trans. Inf. Syst., 2023)

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. - Zhipeng Chen 001; Kun Zhou 002; Xin Zhao 018; Junchen Wan; Fuzheng Zhang; Di Zhang; Ji-Rong Wen (ACL (Findings), 2024)

DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. - Yingqian Min; Kun Zhou 002; Dawei Gao; Xin Zhao 018; He Hu 001; Yaliang Li (ACL (Findings), 2024)

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. - Yuchong Sun; Che Liu; Kun Zhou 002; Jinwen Huang; Ruihua Song; Xin Zhao 018; Fuzheng Zhang; Di Zhang; Kun Gai (ACL (1), 2024)

Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. - Kun Zhou 002; Yifan Li 009; Xin Zhao 018; Ji-Rong Wen (EACL (1), 2024)

Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. - Yifan Li 009; Hangyu Guo; Kun Zhou 002; Wayne Xin Zhao; Ji-Rong Wen (ECCV (73), 2024)

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment. - Zhipeng Chen 001; Kun Zhou 002; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (EMNLP, 2024)

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. - Kun Zhou 002; Beichen Zhang; Jiapeng Wang; Zhipeng Chen 001; Xin Zhao 018; Jing Sha; Zhichao Sheng; Shijin Wang 001; Ji-Rong Wen (NeurIPS, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

Less is More: Data Value Estimation for Visual Instruction Tuning. - Zikang Liu 001; Kun Zhou 002; Wayne Xin Zhao; Dawei Gao; Yaliang Li; Ji-Rong Wen (CoRR, 2024)

Low-Redundant Optimization for Large Language Model Alignment. - Zhipeng Chen 001; Kun Zhou 002; Wayne Xin Zhao; Jingyuan Wang 001; Ji-Rong Wen (CoRR, 2024)

Towards Event-oriented Long Video Understanding. - Yifan Du 002; Kun Zhou 002; Yuqi Huo; Yifan Li 009; Wayne Xin Zhao; Haoyu Lu; Zijia Zhao; Bingning Wang; Weipeng Chen; Ji-Rong Wen (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

LLMBox: A Comprehensive Library for Large Language Models. - Tianyi Tang; Yiwen Hu; Bingqian Li; Wenyang Luo; Zijing Qin; Haoxiang Sun; Jiapeng Wang; Shiyi Xu; Xiaoxue Cheng; Geyang Guo; Han Peng; Bowen Zheng 005; et al. (CoRR, 2024)

Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. - Zhipeng Chen 001; Liang Song; Kun Zhou 002; Wayne Xin Zhao; Bingning Wang; Weipeng Chen; Ji-Rong Wen (CoRR, 2024)

Self-Calibrated Listwise Reranking with Large Language Models. - Ruiyang Ren; Yuhao Wang 007; Kun Zhou 002; Wayne Xin Zhao; Wenjie Wang 007; Jing Liu 022; Ji-Rong Wen; Tat-Seng Chua (CoRR, 2024)

YuLan-Mini: An Open Data-efficient Language Model. - Yiwen Hu; Huatong Song; Jia Deng; Jiapeng Wang; Jie Chen 007; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Zican Dong; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2024)

Towards Effective and Efficient Continual Pre-training of Large Language Models. - Jie Chen 007; Zhipeng Chen 001; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Yingqian Min; Xin Zhao 018; Zhicheng Dou; Jiaxin Mao; Yankai Lin; Ruihua Song; et al. (ACL (1), 2025)

YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model. - Yiwen Hu; Huatong Song; Jie Chen 007; Jia Deng; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Zican Dong; Yang Lu; Xu Miao; Xin Zhao 018; et al. (ACL (1), 2025)

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. - Jinhao Jiang; Kun Zhou 002; Xin Zhao 018; Yang Song 021; Chen Zhu 003; Hengshu Zhu; Ji-Rong Wen (ACL (1), 2025)

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. - Yifan Du 002; Hangyu Guo; Kun Zhou 002; Wayne Xin Zhao; Jinpeng Wang 001; Chuyuan Wang; Mingchen Cai; Ruihua Song; Ji-Rong Wen (COLING, 2025)

Exploring the Design Space of Visual Context Representation in Video MLLMs. - Yifan Du 002; Yuqi Huo; Kun Zhou 002; Zijia Zhao; Haoyu Lu; Han Huang; Xin Zhao 018; Bingning Wang; Weipeng Chen; Ji-Rong Wen (ICLR, 2025)

Self-Calibrated Listwise Reranking with Large Language Models. - Ruiyang Ren; Yuhao Wang 007; Kun Zhou 002; Wayne Xin Zhao; Wenjie Wang 007; Jing Liu 002; Ji-Rong Wen; Tat-Seng Chua (WWW, 2025)

Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. - Zikang Liu 001; Kun Zhou 002; Wayne Xin Zhao; Dawei Gao; Yaliang Li; Ji-Rong Wen (CoRR, 2025)

Analyzing and Mitigating Object Hallucination: A Training Bias Perspective. - Yifan Li 009; Kun Zhou 002; Wayne Xin Zhao; Lei Fang; Ji-Rong Wen (CoRR, 2025)