| 2024 | Embedding Based Deduplication in E-commerce AutoComplete. | Shaodan Zhai, Yuwei Chen, Yixue Li |
| 2024 | Large Language Models and Future of Information Retrieval: Opportunities and Challenges. | ChengXiang Zhai |
| 2024 | Fair Sequential Recommendation without User Demographics. | Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection. | Xia Zeng, David La Barbera, Kevin Roitero, Arkaitz Zubiaga, Stefano Mizzaro |
| 2024 | Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding. | Hansi Zeng, Chen Luo, Hamed Zamani |
| 2024 | Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. | Hamed Zamani, Michael Bendersky |
| 2024 | Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization. | Yi Yu, Kazunari Sugiyama, Adam Jatowt |
| 2024 | EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. | Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang |
| 2024 | Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. | Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An |
| 2024 | Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization. | Minghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu, Tingwen Liu |
| 2024 | Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. | Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He |
| 2024 | Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation. | Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han |
| 2024 | Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction. | Pengwei Yan, Yangyang Kang, Zhuoren Jiang, Kaisong Song, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu |
| 2024 | Self-Explainable Next POI Recommendation. | Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou |
| 2024 | LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval. | Zhenyu Yang, Dizhan Xue, Shengsheng Qian, Weiming Dong, Changsheng Xu |
| 2024 | IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. | Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang |
| 2024 | Weighted KL-Divergence for Document Ranking Model Refinement. | Yingrui Yang, Yifan Qiao, Shanxiu He, Tao Yang |
| 2024 | Sequential Recommendation with Latent Relations based on Large Language Model. | Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang |
| 2024 | Instruction-based Hypergraph Pretraining. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | Distillation for Multilingual Information Retrieval. | Eugene Yang, Dawn J. Lawrie, James Mayfield |
| 2024 | Language Fairness in Multilingual Information Retrieval. | Eugene Yang, Thomas Jnich, James Mayfield, Dawn J. Lawrie |
| 2024 | Cluster-based Partial Dense Retrieval Fused with Sparse Text Retrieval. | Yingrui Yang, Parker Carlson, Shanxiu He, Yifan Qiao, Tao Yang |
| 2024 | Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems. | Dayu Yang, Fumian Chen, Hui Fang |
| 2024 | Contextualization with SPLADE for High Recall Retrieval. | Eugene Yang |
| 2024 | Representation Learning and Information Retrieval. | Yiming Yang |