Understanding and Predicting Weight Loss with Mobile Social Networking Data. - Zhiwei Wang 001; Tyler Derr; Dawei Yin 001; Jiliang Tang (CIKM, 2017)

Preserving Local and Global Information for Network Embedding. - Yao Ma 001; Suhang Wang; Zhaochun Ren; Dawei Yin 001; Jiliang Tang (CoRR, 2017)

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. - Wenqiang Lei; Xisen Jin; Min-Yen Kan; Zhaochun Ren; Xiangnan He 001; Dawei Yin 001 (ACL (1), 2018)

Knowledge Diffusion for Neural Dialogue Generation. - Shuman Liu; Hongshen Chen; Zhaochun Ren; Yang Feng 004; Qun Liu 001; Dawei Yin 001 (ACL (1), 2018)

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao 002; Dawei Yin 001 (CIKM, 2018)

Learning Tag Dependencies for Sequence Tagging. - Yuan Zhang 015; Hongshen Chen; Yihong Zhao 002; Qun Liu 001; Dawei Yin 001 (IJCAI, 2018)

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. - Zhaochun Ren; Xiangnan He 001; Dawei Yin 001; Maarten de Rijke (SIGIR, 2018)

Multi-Dimensional Network Embedding with Hierarchical Structure. - Yao Ma 001; Zhaochun Ren; Ziheng Jiang; Jiliang Tang; Dawei Yin 001 (WSDM, 2018)

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. - Zihan Wang 002; Ziheng Jiang; Zhaochun Ren; Jiliang Tang; Dawei Yin 001 (WSDM, 2018)

Hierarchical Variational Memory Network for Dialogue Generation. - Hongshen Chen; Zhaochun Ren; Jiliang Tang; Yihong Eric Zhao; Dawei Yin 001 (WWW, 2018)

Deep Reinforcement Learning for List-wise Recommendations. - Xiangyu Zhao 001; Liang Zhang; Zhuoye Ding; Dawei Yin 001; Yihong Zhao 002; Jiliang Tang (CoRR, 2018)

Linked Recurrent Neural Networks. - Zhiwei Wang 001; Yao Ma 001; Dawei Yin 001; Jiliang Tang (CoRR, 2018)

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao 002; Dawei Yin 001 (CoRR, 2018)

Dynamic Graph Neural Networks. - Yao Ma 001; Ziyi Guo; Zhaochun Ren; Yihong Eric Zhao; Jiliang Tang; Dawei Yin 001 (CoRR, 2018)

Spectral Clustering in Heterogeneous Information Networks. - Xiang Li 067; Ben Kao; Zhaochun Ren; Dawei Yin 001 (AAAI, 2019)

Reinforcement Learning to Diversify Top-N Recommendation. - Lixin Zou; Long Xia; Zhuoye Ding; Dawei Yin 001; Jiaxing Song; Weidong Liu 001 (DASFAA (2), 2019)

Weight Loss Prediction in Social-Temporal Context. - Zhiwei Wang 001; Xiaorui Liu; Jiliang Tang; Dawei Yin 001 (ICHI, 2019)

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. - Weijian Chen 001; Yulong Gu; Zhaochun Ren; Xiangnan He 001; Hongtao Xie; Tong Guo; Dawei Yin 001; Yongdong Zhang 001 (IJCAI, 2019)

Off-policy Learning for Multiple Loggers. - Li He; Long Xia; Wei Zeng 008; Zhi-Ming Ma; Yihong Zhao 002; Dawei Yin 001 (KDD, 2019)

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. - Chao Huang 001; Xian Wu 003; Xuchao Zhang; Chuxu Zhang; Jiashu Zhao; Dawei Yin 001; Nitesh V. Chawla (KDD, 2019)

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. - Lixin Zou; Long Xia; Zhuoye Ding; Jiaxing Song; Weidong Liu 001; Dawei Yin 001 (KDD, 2019)

Deep social collaborative filtering. - Wenqi Fan; Yao Ma 001; Dawei Yin 001; Jianping Wang 001; Jiliang Tang; Qing Li 001 (RecSys, 2019)

Multi-dimensional Graph Convolutional Networks. - Yao Ma 001; Suhang Wang; Charu C. Aggarwal; Dawei Yin 001; Jiliang Tang (SDM, 2019)

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. - Yixing Fan; Qingyao Ai; Zhaochun Ren; Liangjie Hong; Dawei Yin 001; Jiafeng Guo (WSDM, 2019)

Product-Aware Answer Generation in E-Commerce Question-Answering. - Shen Gao; Zhaochun Ren; Yihong Eric Zhao; Dongyan Zhao 001; Dawei Yin 001; Rui Yan 001 (WSDM, 2019)

Graph Neural Networks for Social Recommendation. - Wenqi Fan; Yao Ma 001; Qing Li 001; Yuan He; Yihong Eric Zhao; Jiliang Tang; Dawei Yin 001 (WWW, 2019)

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. - Chao Huang 001; Chuxu Zhang; Jiashu Zhao; Xian Wu 003; Nitesh V. Chawla; Dawei Yin 001 (WWW, 2019)

Model-Based Reinforcement Learning for Whole-Chain Recommendations. - Xiangyu Zhao 001; Long Xia; Yihong Zhao 002; Dawei Yin 001; Jiliang Tang (CoRR, 2019)

Whole-Chain Recommendations. - Xiangyu Zhao 001; Long Xia; Lixin Zou; Hui Liu 031; Dawei Yin 001; Jiliang Tang (CIKM, 2020)

Game Recommendation Based on Dynamic Graph Convolutional Network. - Wenwen Ye; Zheng Qin 003; Zhuoye Ding; Dawei Yin 001 (DASFAA (1), 2020)

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. - Huance Xu; Chao Huang 001; Yong Xu 007; Lianghao Xia; Hao Xing; Dawei Yin 001 (ICDM, 2020)

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. - Xiang Li 067; Ben Kao; Caihua Shan; Dawei Yin 001; Martin Ester (KDD, 2020)

Streaming Graph Neural Networks. - Yao Ma 001; Ziyi Guo; Zhaochun Ren; Jiliang Tang; Dawei Yin 001 (SIGIR, 2020)

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin 001; Grace Hui Yang; Alex Beutel (SIGIR, 2020)

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. - Hongshen Chen; Zhaochun Ren; Pengjie Ren; Dawei Yin 001; Xiaodong He 001 (SIGIR, 2020)

Reinforcement Learning to Rank with Pairwise Policy Gradient. - Jun Xu 001; Zeng Wei; Long Xia; Yanyan Lan; Dawei Yin 001; Xueqi Cheng; Ji-Rong Wen (SIGIR, 2020)

Time Matters: Sequential Recommendation with Complex Temporal Information. - Wenwen Ye; Shuaiqiang Wang; Xu Chen 017; Xuepeng Wang; Zheng Qin 003; Dawei Yin 001 (SIGIR, 2020)

Neural Interactive Collaborative Filtering. - Lixin Zou; Long Xia; Yulong Gu; Xiangyu Zhao 001; Weidong Liu 001; Jimmy Xiangji Huang; Dawei Yin 001 (SIGIR, 2020)

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. - Pengjie Ren; Zhaochun Ren; Fei Sun 001; Xiangnan He 001; Dawei Yin 001; Maarten de Rijke (WSDM, 2020)

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. - Lixin Zou; Long Xia; Pan Du 001; Zhuo Zhang; Ting Bai; Weidong Liu 001; Jian-Yun Nie; Dawei Yin 001 (WSDM, 2020)

Keywords Generation Improves E-Commerce Session-based Recommendation. - Yuanxing Liu 001; Zhaochun Ren; Wei-Nan Zhang 003; Wanxiang Che; Ting Liu 001; Dawei Yin 001 (WWW, 2020)

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. - Xiao Huang 001; Pengjie Ren; Zhaochun Ren; Fei Sun 001; Xiangnan He 001; Dawei Yin 001; Maarten de Rijke (SIGIR Forum, 2020)

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. - Xu Chen 017; Kun Xiong; Yongfeng Zhang; Long Xia; Dawei Yin 001; Jimmy Xiangji Huang (ACM Trans. Inf. Syst., 2020)

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. - Gang Wang; Ziyi Guo; Xiang Li 067; Dawei Yin 001; Shuai Ma 001 (EDBT, 2021)

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. - Chao Huang 001; Jiashu Zhao; Dawei Yin 001 (ICDE, 2021)

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin 001; Grace Hui Yang (SIGIR, 2021)

UserSim: User Simulation via Supervised GenerativeAdversarial Network. - Xiangyu Zhao 001; Long Xia; Lixin Zou; Hui Liu 031; Dawei Yin 001; Jiliang Tang (WWW, 2021)

Learning Reinforced Dynamic Representations for Sequential Recommendation. - Weiqi Shao; Xu Chen 017; Jiashu Zhao; Long Xia; Dawei Yin 001 (CoRR, 2021)

Self-Supervised Learning for Recommendation. - Chao Huang 001; Lianghao Xia; Xiang Wang 010; Xiangnan He 001; Dawei Yin 001 (CIKM, 2022)

Self-Supervised Learning for Recommender System. - Chao Huang 001; Xiang Wang 010; Xiangnan He 001; Dawei Yin 001 (SIGIR, 2022)

Hypergraph Contrastive Collaborative Filtering. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Jiashu Zhao; Dawei Yin 001; Jimmy X. Huang (SIGIR, 2022)

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. - Xiangyu Zhao 001; Xin Xin 003; Weinan Zhang 001; Li Zhao 007; Dawei Yin 001; Grace Hui Yang (SIGIR, 2022)

Contrastive Meta Learning with Behavior Multiplicity for Recommendation. - Wei Wei 027; Chao Huang 001; Lianghao Xia; Yong Xu 007; Jiashu Zhao; Dawei Yin 001 (WSDM, 2022)

Sequential Recommendation with User Evolving Preference Decomposition. - Weiqi Shao; Xu Chen 017; Long Xia; Jiashu Zhao; Dawei Yin 001 (CoRR, 2022)

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? - Juan-Hui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin 001 (CoRR, 2022)

Geometry Contrastive Learning on Heterogeneous Graphs. - Shichao Zhu; Chuan Zhou 001; Anfeng Cheng; Shirui Pan; Shuaiqiang Wang; Dawei Yin 001; Bin Wang 004 (CoRR, 2022)

A Graph Neural Network Framework for Social Recommendations. - Wenqi Fan; Yao Ma 001; Qing Li 001; Jianping Wang 001; Guoyong Cai; Jiliang Tang; Dawei Yin 001 (IEEE Trans. Knowl. Data Eng., 2022)

Feature-Level Debiased Natural Language Understanding. - Yougang Lyu; Piji Li; Yechang Yang; Maarten de Rijke; Pengjie Ren; Yukun Zhao; Dawei Yin 001; Zhaochun Ren (AAAI, 2023)

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? - Juanhui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin 001 (ACL (1), 2023)

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. - Xin Xin 003; Xiangyu Zhao 001; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin 001; Grace Hui Yang (CIKM, 2023)

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li 006; Shuaiqiang Wang; Yiqun Liu 001; Dawei Yin 001; Shaoping Ma (CIKM, 2023)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin 001 (DSAA, 2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. - Weiwei Sun 001; Lingyong Yan; Xinyu Ma; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin 001; Zhaochun Ren (EMNLP, 2023)

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin 001 (EMNLP (Findings), 2023)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen 001; Shuaiqiang Wang; Dawei Yin 001 (ICDM, 2023)

Learning Discrete Document Representations in Web Search. - Rong Huang; Danfeng Zhang; Weixue Lu; Han Li; Meng Wang; Daiting Shi; Jun Fan; Zhicong Cheng; Simiu Gu; Dawei Yin 001 (KDD, 2023)

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Qingzhong Wang; Shuaiqiang Wang; Guihai Chen; Dawei Yin 001 (KDD, 2023)

Learning to Tokenize for Generative Retrieval. - Weiwei Sun 001; Lingyong Yan; Zheng Chen; Shuaiqiang Wang; Haichao Zhu; Pengjie Ren; Zhumin Chen; Dawei Yin 001; Maarten de Rijke; Zhaochun Ren (NeurIPS, 2023)

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. - Juanhui Li; Harry Shomer; Haitao Mao; Shenglai Zeng; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin 001 (NeurIPS, 2023)

Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. - Zechun Niu; Jiaxin Mao; Qingyao Ai; Lixin Zou; Shuaiqiang Wang; Dawei Yin 001 (NTCIR, 2023)

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Shuaiqiang Wang; Zeyi Sun 001; Hongyang Chen 001; Guihai Chen; Dawei Yin 001 (ECML/PKDD (6), 2023)

Sequential Recommendation with User Evolving Preference Decomposition. - Weiqi Shao; Xu Chen 017; Jiashu Zhao; Long Xia; Jingsen Zhang; Dawei Yin 001 (SIGIR-AP, 2023)

Graph Enhanced BERT for Query Understanding. - Juanhui Li; Wei Zeng 008; Suqi Cheng; Yao Ma 001; Jiliang Tang; Shuaiqiang Wang; Dawei Yin 001 (SIGIR, 2023)

Disentangled Contrastive Collaborative Filtering. - Xubin Ren; Lianghao Xia; Jiashu Zhao; Dawei Yin 001; Chao Huang 001 (SIGIR, 2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. - Weiwei Sun 001; Lingyong Yan; Xinyu Ma; Pengjie Ren; Dawei Yin 001; Zhaochun Ren (CoRR, 2023)

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li 006; Shuaiqiang Wang; Yiqun Liu 001; Dawei Yin 001; Shaoping Ma (CoRR, 2023)

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu 001; Haitao Li 006; Yiqun Liu 001; Shuaiqiang Wang; Dawei Yin 001; Shaoping Ma (CoRR, 2023)

Prompt Tuning for Multi-View Graph Contrastive Learning. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Cheng Yao; Jiaqi Tan 006; Chengcheng Yu; Dawei Yin 001 (CoRR, 2023)

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin 001 (CoRR, 2023)

Enhancing Graph Neural Networks with Structure-Based Prompt. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin 001 (CoRR, 2023)

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. - Weiwei Sun 001; Zheng Chen; Xinyu Ma; Lingyong Yan; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin 001; Zhaochun Ren (CoRR, 2023)

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. - Xiaopeng Li 014; Lixin Su; Pengyue Jia; Xiangyu Zhao 001; Suqi Cheng; Junfeng Wang 009; Dawei Yin 001 (CoRR, 2023)

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. - Zhikai Chen; Haitao Mao; Hang Li 007; Wei Jin 009; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin 001; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2023)

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. - Yuchen Li 006; Haoyi Xiong; Qingzhong Wang; Linghe Kong; Hao Liu 026; Haifang Li 003; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dejing Dou; Dawei Yin 001 (IEEE Trans. Knowl. Data Eng., 2023)

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. - Wanli Yang; Fei Sun 001; Xinyu Ma; Xun Liu; Dawei Yin 001; Xueqi Cheng (ACL (Findings), 2024)

Towards Completeness-Oriented Tool Retrieval for Large Language Models. - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001; Jun Xu 001; Ji-Rong Wen (CIKM, 2024)

Hyperbolic Contrastive Learning for Cross-Domain Recommendation. - Xin Yang; Heng Chang; Zhijian Lai; Jinze Yang; Xingrun Li; Yu Lu; Shuaiqiang Wang; Dawei Yin 001; Erxue Min (CIKM, 2024)

Improving the Robustness of Large Language Models via Consistency Alignment. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Guoliang Xing; Shuaiqiang Wang; Chong Meng; Zhicong Cheng; Zhaochun Ren; Dawei Yin 001 (LREC/COLING, 2024)

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. - Weiwei Sun 001; Zhengliang Shi; Wu Long; Lingyong Yan; Xinyu Ma; Yiding Liu; Min Cao; Dawei Yin 001; Zhaochun Ren (EMNLP, 2024)

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. - Hao Sun 015; Jiayi Wu 001; Hengyi Cai; Xiaochi Wei; Yue Feng 002; Bo Wang; Shuaiqiang Wang; Yan Zhang 117; Dawei Yin 001 (EMNLP, 2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. - Yougang Lyu; Lingyong Yan; Shuaiqiang Wang; Haibo Shi; Dawei Yin 001; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Zhaochun Ren (EMNLP, 2024)

Learning to Use Tools via Cooperative and Interactive Agents. - Zhengliang Shi; Shen Gao; Xiuyi Chen; Yue Feng 002; Lingyong Yan; Haibo Shi; Dawei Yin 001; Pengjie Ren; Suzan Verberne; Zhaochun Ren (EMNLP (Findings), 2024)

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. - Hao Sun 015; Hengyi Cai; Bo Wang; Yingyan Hou; Xiaochi Wei; Shuaiqiang Wang; Yan Zhang 117; Dawei Yin 001 (EMNLP, 2024)

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. - Wanli Yang; Fei Sun 001; Jiajun Tan; Xinyu Ma; Du Su; Dawei Yin 001; Huawei Shen (EMNLP (Findings), 2024)

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. - Junda Zhu 003; Lingyong Yan; Haibo Shi; Dawei Yin 001; Lei Sha (EMNLP, 2024)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. - Xixun Lin; Wenxiao Zhang; Fengzhao Shi; Chuan Zhou 001; Lixin Zou; Xiangyu Zhao 001; Dawei Yin 001; Shirui Pan; Yanan Cao 001 (ICML, 2024)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen 001; Shuaiqiang Wang; Dawei Yin 001 (IJCAI, 2024)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin 001 (IJCAI, 2024)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. - Wenqi Fan; Yujuan Ding; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin 001; Tat-Seng Chua; Qing Li 001 (KDD, 2024)

UrbanGPT: Spatio-Temporal Large Language Models. - Zhonghang Li; Lianghao Xia; Jiabin Tang; Yong Xu 007; Lei Shi; Long Xia; Dawei Yin 001; Chao Huang 001 (KDD, 2024)

A Survey of Large Language Models for Graphs. - Xubin Ren; Jiabin Tang; Dawei Yin 001; Nitesh V. Chawla; Chao Huang 001 (KDD, 2024)

HiGPT: Heterogeneous Graph Language Model. - Jiabin Tang; Yuhao Yang 002; Wei Wei 027; Lei Shi; Long Xia; Dawei Yin 001; Chao Huang 001 (KDD, 2024)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. - Pengyue Jia; Yiding Liu; Xiangyu Zhao 001; Xiaopeng Li 014; Changying Hao; Shuaiqiang Wang; Dawei Yin 001 (NAACL-HLT, 2024)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Guoliang Xing; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin 001 (NAACL-HLT, 2024)

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. - Dongsheng Zhu; Daniel Tang; Weidong Han 002; Jinghui Lu; Yukun Zhao; Guoliang Xing; Junfeng Wang 009; Dawei Yin 001 (NAACL-HLT, 2024)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. - Pengyue Jia; Yiding Liu; Xiaopeng Li 014; Xiangyu Zhao 001; Yuhao Wang 006; Yantong Du; Xiao Han 004; Xuetao Wei; Shuaiqiang Wang; Dawei Yin 001 (NeurIPS, 2024)

Cross-model Control: Improving Multiple Large Language Models in One-time Training. - Jiayi Wu 001; Hao Sun 015; Hengyi Cai; Lixin Su; Shuaiqiang Wang; Dawei Yin 001; Xiang Li 067; Ming Gao 001 (NeurIPS, 2024)

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin 001 (ECML/PKDD (5), 2024)

AgentIR: 1st Workshop on Agent-based Information Retrieval. - Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin 001; Grace Hui Yang (SIGIR, 2024)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu 001; Haitao Li 006; Yiqun Liu 001; Shuaiqiang Wang; Dawei Yin 001; Shaoping Ma (SIGIR, 2024)

GraphGPT: Graph Instruction Tuning for Large Language Models. - Jiabin Tang; Yuhao Yang 002; Wei Wei 027; Lei Shi; Lixin Su; Suqi Cheng; Dawei Yin 001; Chao Huang 001 (SIGIR, 2024)

Text-Video Retrieval via Multi-Modal Hypergraph Networks. - Qian Li 033; Lixin Su; Jiashu Zhao; Long Xia; Hengyi Cai; Suqi Cheng; Hengzhu Tang; Junfeng Wang 009; Dawei Yin 001 (WSDM, 2024)

LLMRec: Large Language Models with Graph Augmentation for Recommendation. - Wei Wei 027; Xubin Ren; Jiabin Tang; Qinyong Wang; Lixin Su; Suqi Cheng; Junfeng Wang 009; Dawei Yin 001; Chao Huang 001 (WSDM, 2024)

Large Language Models for Graphs: Progresses and Directions. - Chao Huang 001; Xubin Ren; Jiabin Tang; Dawei Yin 001; Nitesh V. Chawla (WWW (Companion Volume), 2024)

Representation Learning with Large Language Models for Recommendation. - Xubin Ren; Wei Wei 027; Lianghao Xia; Lixin Su; Suqi Cheng; Junfeng Wang 009; Dawei Yin 001; Chao Huang 001 (WWW, 2024)

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks. - Qian Li 033; Lixin Su; Jiashu Zhao; Long Xia; Hengyi Cai; Suqi Cheng; Hengzhu Tang; Junfeng Wang 009; Dawei Yin 001 (CoRR, 2024)

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. - Dongsheng Zhu; Xunzhu Tang; Weidong Han 002; Jinghui Lu; Yukun Zhao; Guoliang Xing; Junfeng Wang 009; Dawei Yin 001 (CoRR, 2024)

Learning to Use Tools via Cooperative and Interactive Agents. - Zhengliang Shi; Shen Gao; Xiuyi Chen; Lingyong Yan; Haibo Shi; Dawei Yin 001; Zhumin Chen; Pengjie Ren; Suzan Verberne; Zhaochun Ren (CoRR, 2024)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors. - Guanying Jiang; Lingyong Yan; Haibo Shi; Dawei Yin 001 (CoRR, 2024)

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. - Yujuan Ding; Wenqi Fan; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin 001; Tat-Seng Chua; Qing Li 001 (CoRR, 2024)

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001; Jun Xu 001; Ji-Rong Wen (CoRR, 2024)

Chain of Tools: Large Language Model is an Automatic Multi-tool Learner. - Zhengliang Shi; Shen Gao; Xiuyi Chen; Yue Feng 002; Lingyong Yan; Haibo Shi; Dawei Yin 001; Zhumin Chen; Suzan Verberne; Zhaochun Ren (CoRR, 2024)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. - Yiqun Chen 004; Qi Liu 071; Yi Zhang 050; Weiwei Sun 001; Daiting Shi; Jiaxin Mao; Dawei Yin 001 (CoRR, 2024)

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System. - Xin Yang; Heng Chang; Zhijian Lai; Jinze Yang; Xingrun Li; Yu Lu; Shuaiqiang Wang; Dawei Yin 001; Erxue Min (CoRR, 2024)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. - Zhonghang Li; Long Xia; Lei Shi; Yong Xu 007; Dawei Yin 001; Chao Huang 001 (CoRR, 2024)

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen 001; Shuaiqiang Wang; Dawei Yin 001 (CoRR, 2024)

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin 001 (CoRR, 2024)

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. - Weiwei Sun 001; Zhengliang Shi; Jiulong Wu; Lingyong Yan; Xinyu Ma; Yiding Liu; Min Cao; Dawei Yin 001; Zhaochun Ren (CoRR, 2024)

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework. - Fan Liu; Yue Feng 002; Zhao Xu 006; Lixin Su; Xinyu Ma; Dawei Yin 001; Hao Liu 026 (CoRR, 2024)

Information Discovery in E-commerce. - Zhaochun Ren; Xiangnan He 001; Dawei Yin 001; Maarten de Rijke (Found. Trends Inf. Retr., 2024)

When Search Engine Services Meet Large Language Models: Visions and Challenges. - Haoyi Xiong; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Mengnan Du; Shuaiqiang Wang; Dawei Yin 001; Sumi Helal (IEEE Trans. Serv. Comput., 2024)

SMEC: Scene Mining for E-Commerce. - Gang Wang; Xiang Li 067; Ziyi Guo; Dawei Yin 001; Shuai Ma 001 (J. Comput. Sci. Technol., 2024)

Explainability for Large Language Models: A Survey. - Haiyan Zhao 003; Hanjie Chen; Fan Yang 023; Ninghao Liu; Huiqi Deng; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001; Mengnan Du (ACM Trans. Intell. Syst. Technol., 2024)

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. - Xixun Lin; Chuan Zhou 001; Jia Wu 001; Lixin Zou; Shirui Pan; Yanan Cao 001; Bin Wang 004; Shuaiqiang Wang; Dawei Yin 001 (IEEE Trans. Knowl. Data Eng., 2024)

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. - Jingtong Gao; Xiangyu Zhao 001; Muyang Li; Minghao Zhao 002; Runze Wu 001; Ruocheng Guo; Yiding Liu; Dawei Yin 001 (ACM Trans. Inf. Syst., 2024)

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. - Zhidan Wang; Lixin Zou; Chenliang Li 005; Shuaiqiang Wang; Xu Chen 017; Dawei Yin 001; Weidong Liu 001 (ACM Trans. Inf. Syst., 2024)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. - Shijie Wang 002; Wenqi Fan; Yue Feng 002; Shanru Lin; Xinyu Ma; Shuaiqiang Wang; Dawei Yin 001 (ACL (1), 2025)

LLMs + Persona-Plug = Personalized LLMs. - Jiongnan Liu; Yutao Zhu 001; Shuting Wang 002; Xiaochi Wei; Erxue Min; Yu Lu; Shuaiqiang Wang; Dawei Yin 001; Zhicheng Dou (ACL (1), 2025)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Ziliang Zhao; Shuaiqiang Wang; Dawei Yin 001; Zhicheng Dou (ACL (1), 2025)

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. - Zhengliang Shi; Yuhan Wang; Lingyong Yan; Pengjie Ren; Shuaiqiang Wang; Dawei Yin 001; Zhaochun Ren (ACL (Findings), 2025)

The Mirage of Model Editing: Revisiting Evaluation in the Wild. - Wanli Yang; Fei Sun 001; Jiajun Tan; Xinyu Ma; Qi Cao 005; Dawei Yin 001; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization. - Yukun Zhao; Lingyong Yan; Zhenyang Li; Shuaiqiang Wang; Zhumin Chen; Zhaochun Ren; Dawei Yin 001 (ACL (Findings), 2025)

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. - Dongsheng Zhu; Weixian Shi; Zhengliang Shi; Zhaochun Ren; Shuaiqiang Wang; Lingyong Yan; Dawei Yin 001 (ACL (1), 2025)

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. - Zefeng Zhang 001; Hengzhu Tang; Jiawei Sheng; Zhenyu Zhang 006; Yiming Ren; Zhenyang Li; Dawei Yin 001; Duohe Ma; Tingwen Liu (CVPR, 2025)

M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search. - Yuchen Li 006; Hao Zhang; Yongqi Zhang; Xinyu Ma; Wenwen Ye; Naifei Song; Shuaiqiang Wang; Haoyi Xiong; Dawei Yin 001; Lei Chen (ICDE, 2025)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. - Xihong Yang; Heming Jing; Zixing Zhang 006; Jindong Wang; Huakang Niu; Shuaiqiang Wang; Yu Lu; Junfeng Wang 009; Dawei Yin 001; Xinwang Liu 002; En Zhu; Defu Lian; et al. (ICDE, 2025)

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. - Yougang Lyu; Lingyong Yan; Zihan Wang 002; Dawei Yin 001; Pengjie Ren; Maarten de Rijke; Zhaochun Ren (ICLR, 2025)

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001; Jun Xu 001; Ji-Rong Wen (ICLR, 2025)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. - Xiaodong Li 012; Hengzhu Tang; Jiawei Sheng; Xinghua Zhang 001; Li Gao; Suqi Cheng; Dawei Yin 001; Tingwen Liu (KDD (1), 2025)

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. - Yuchen Li 006; Haoyi Xiong; Yongqi Zhang; Jiang Bian 003; Tianhao Peng 002; Xuhong Li 002; Shuaiqiang Wang; Linghe Kong; Dawei Yin 001 (KDD (1), 2025)

Generative Retrieval for Book Search. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqiang Wang; Dawei Yin 001; Xueqi Cheng (KDD (1), 2025)

Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. - Hengzhu Tang; Zefeng Zhang 001; Zhiping Li; Zhenyu Zhang 006; Xing Wu; Li Gao; Suqi Cheng; Dawei Yin 001 (KDD (1), 2025)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. - Jiayi Wu 001; Hengyi Cai; Lingyong Yan; Hao Sun 015; Xiang Li 067; Shuaiqiang Wang; Dawei Yin 001; Ming Gao 001 (NAACL (Long Papers), 2025)

AgentIR: 2nd Workshop on Agent-based Information Retrieval. - Pengyue Jia; Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin 001; Grace Hui Yang (SIGIR, 2025)

Replication and Exploration of Generative Retrieval over Dynamic Corpora. - Zhen Zhang; Xinyu Ma; Weiwei Sun 001; Pengjie Ren; Zhumin Chen; Shuaiqiang Wang; Dawei Yin 001; Maarten de Rijke; Zhaochun Ren (SIGIR, 2025)

Large Language Model for E-Commerce Workshop. - Haoyu Han 001; Xianfeng Tang; Jing Huang; Monica Xiao Cheng; Omar Alonso; Hanqing Lu; Zhen Li; Chen Luo 003; Dawei Yin 001; Jiliang Tang (WWW (Companion Volume), 2025)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. - Yiqun Chen 004; Qi Liu 071; Yi Zhang 050; Weiwei Sun 001; Xinyu Ma; Wei Yang 041; Daiting Shi; Jiaxin Mao; Dawei Yin 001 (WWW, 2025)

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. - Yiqun Chen 004; Jiaxin Mao; Yi Zhang 050; Dehong Ma; Long Xia; Jun Fan; Daiting Shi; Zhicong Cheng; Simiu Gu; Dawei Yin 001 (WWW, 2025)

Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. - Zhengliang Shi; Shen Gao; Lingyong Yan; Yue Feng 002; Xiuyi Chen; Zhumin Chen; Dawei Yin 001; Suzan Verberne; Zhaochun Ren (WWW, 2025)

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. - Lulu Yu; Keping Bi; Jiafeng Guo; Shihao Liu; Dawei Yin 001; Xueqi Cheng (WWW (Companion Volume), 2025)

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. - Yanan Cao 001; Fengzhao Shi; Qing Yu; Xixun Lin; Chuan Zhou 001; Lixin Zou; Peng Zhang 001; Zhao Li 007; Dawei Yin 001 (Neural Networks, 2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. - Shijie Wang 002; Wenqi Fan; Yue Feng 002; Xinyu Ma; Shuaiqiang Wang; Dawei Yin 001 (CoRR, 2025)

Generative Retrieval for Book search. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqing Wang; Dawei Yin 001; Xueqi Cheng (CoRR, 2025)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Lingyong Yan; Weiwei Sun 001; Xinyu Ma; Yi Zhang 050; Shuaiqiang Wang; Dawei Yin 001; Yiming Yang 002; Jiaxin Mao (CoRR, 2025)

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. - Xubin Ren; Lingrui Xu; Long Xia; Shuaiqiang Wang; Dawei Yin 001; Chao Huang 001 (CoRR, 2025)

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. - Junda Zhu 003; Lingyong Yan; Shuaiqiang Wang; Dawei Yin 001; Lei Sha (CoRR, 2025)

Hgformer: Hyperbolic Graph Transformer for Recommendation. - Xin Yang; Xingrun Li; Heng Chang; Jinze Yang; Xihong Yang; Shengyu Tao; Ningkang Chang; Maiko Shigeno; Junfeng Wang 009; Dawei Yin 001; Erxue Min (CoRR, 2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. - Jiani Huang 001; Shijie Wang 002; Liang-Bo Ning 001; Wenqi Fan; Shuaiqiang Wang; Dawei Yin 001; Qing Li 001 (CoRR, 2025)

CoRanking: Collaborative Ranking with Small and Large Ranking Agents. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Lixin Su; Shuaiqiang Wang; Dawei Yin 001; Zhicheng Dou (CoRR, 2025)

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. - Hang Ni; Fan Liu; Xinyu Ma; Lixin Su; Shuaiqiang Wang; Dawei Yin 001; Hui Xiong 001; Hao Liu 026 (CoRR, 2025)

From Prompting to Alignment: A Generative Framework for Query Recommendation. - Erxue Min; Hsiu-Yuan Huang; Min Yang; Xihong Yang; Xin Jia; Yunfang Wu; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001 (CoRR, 2025)

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models. - Zhengliang Shi; Lingyong Yan; Weiwei Sun 001; Yue Feng 002; Pengjie Ren; Xinyu Ma; Shuaiqiang Wang; Dawei Yin 001; Maarten de Rijke; Zhaochun Ren (CoRR, 2025)

Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning. - Yukun Zhao; Lingyong Yan; Zhenyang Li; Shuaiqiang Wang; Zhumin Chen; Zhaochun Ren; Dawei Yin 001 (CoRR, 2025)

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers. - Zhengliang Shi; Lingyong Yan; Dawei Yin 001; Suzan Verberne; Maarten de Rijke; Zhaochun Ren (CoRR, 2025)

PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs. - Shuting Wang 002; Zhicheng Dou; Kexiang Wang; Dehong Ma; Jun Fan; Daiting Shi; Zhicong Cheng; Simiu Gu; Dawei Yin 001; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2025)

Contrastive Modality-Disentangled Learning for Multimodal Recommendation. - Xixun Lin; Rui Liu 032; Yanan Cao 001; Lixin Zou; Qian Li 003; Yongxuan Wu; Yang Liu 320; Dawei Yin 001; Guandong Xu (ACM Trans. Inf. Syst., 2025)

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. - Jiulong Wu; Zhengliang Shi; Shuaiqiang Wang; Jizhou Huang; Dawei Yin 001; Lingyong Yan; Min Cao; Min Zhang (CoRR, 2025)

Leveraging LLMs to Evaluate Usefulness of Document. - Xingzhu Wang; Erhan Zhang; Yiqun Chen 004; Jinghan Xuan; Yucheng Hou; Yitong Xu; Ying Nie; Shuaiqiang Wang; Dawei Yin 001; Jiaxin Mao (CoRR, 2025)

Towards AI Search Paradigm. - Yuchen Li 006; Hengyi Cai; Rui Kong; Xinran Chen; Jiamin Chen; Jun Yang; Haojie Zhang; Jiayi Li; Jiayi Wu 001; Yiqun Chen 004; Changle Qu; Keyi Kong; et al. (CoRR, 2025)

Multi-turn Jailbreaking via Global Refinement and Active Fabrication. - Hua Tang; Lingyong Yan; Yukun Zhao; Shuaiqiang Wang; Jizhou Huang; Dawei Yin 001 (CoRR, 2025)

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. - Zihao Li; Ruixiang Tang; Lu Cheng 001; Shuaiqiang Wang; Dawei Yin 001; Mengnan Du (SIGKDD Explor., 2025)

CTR-Guided Generative Query Suggestion in Conversational Search. - Erxue Min; Hsiu-Yuan Huang; Xihong Yang; Min Yang; Xin Jia; Yunfang Wu; Hengyi Cai; Junfeng Wang 009; Shuaiqiang Wang; Dawei Yin 001 (CoRR, 2025)

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation. - Yiqun Chen 004; Erhan Zhang; Lingyong Yan; Shuaiqiang Wang; Jizhou Huang; Dawei Yin 001; Jiaxin Mao (CoRR, 2025)

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability. - Wenhan Liu; Xinyu Ma; Weiwei Sun 001; Yutao Zhu 001; Yuchen Li 006; Dawei Yin 001; Zhicheng Dou (CoRR, 2025)

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation. - Ziyang Chen; Erxue Min; Xiang Zhao 002; Yunxin Li; Xin Jia; Jinzhi Liao; Jichao Li; Shuaiqiang Wang; Baotian Hu; Dawei Yin 001 (CoRR, 2025)

Curriculum Approximate Unlearning for Session-based Recommendation. - Liu Yang 025; Zhaochun Ren; Ziqi Zhao; Pengjie Ren; Zhumin Chen; Xinyi Li 001; Shuaiqiang Wang; Dawei Yin 001; Xin Xin 003 (CoRR, 2025)

Tool learning with large language models: a survey. - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001; Jun Xu 001; Ji-Rong Wen (Frontiers Comput. Sci., 2025)

Reasoning-enhanced Query Understanding through Decomposition and Interpretation. - Yunfei Zhong; Jun Yang; Yixing Fan; Jiafeng Guo; Lixin Su; Maarten de Rijke; Ruqing Zhang 001; Dawei Yin 001; Xueqi Cheng (CoRR, 2025)

Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding. - Ziheng Li; Zexu Sun; Jinman Zhao; Erxue Min; Yongcheng Zeng; Hui Wu; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001; Xu Chen 017; Zhi-Hong Deng (CoRR, 2025)

Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents. - Heyang Gao; Zexu Sun; Erxue Min; Hengyi Cai; Shuaiqiang Wang; Dawei Yin 001; Xu Chen 017 (CoRR, 2025)

ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval. - Weiwei Sun 001; Keyi Kong; Xinyu Ma; Shuaiqiang Wang; Dawei Yin 001; Maarten de Rijke; Zhaochun Ren; Yiming Yang 002 (CoRR, 2025)

VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification. - Haosheng Qian; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Qi Chen; Dawei Yin 001; Xueqi Cheng (CoRR, 2025)

Grounding Long-Context Reasoning with Contextual Normalization for Retrieval-Augmented Generation. - Jiamin Chen; Yuchen Li 006; Xinyu Ma; Xinran Chen; Xiaokun Zhang 001; Shuaiqiang Wang; Chen Ma 001; Dawei Yin 001 (CoRR, 2025)

Graph Machine Learning in the Era of Large Language Models (LLMs). - Shijie Wang 002; Jiani Huang 001; Zhikai Chen; Yu Song 007; Wenzhuo Tang; Haitao Mao; Wenqi Fan; Hui Liu 031; Xiaorui Liu; Dawei Yin 001; Qing Li 001 (ACM Trans. Intell. Syst. Technol., 2025)

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-Agent LLMs. - Xiaopeng Li 014; Lixin Su; Pengyue Jia; Suqi Cheng; Junfeng Wang 009; Dawei Yin 001; Xiangyu Zhao 001 (ACM Trans. Inf. Syst., 2025)