| 2025 | PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage. | Wenyi Zhang, Ju Jia, Xiaojun Jia, Yihao Huang, Xinfeng Li, Cong Wu, Lina Wang |
| 2025 | UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. | Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma |
| 2025 | Towards Better Evaluating Multi-Query Sessions: A Measure Based on the Theory of Planned Behavior. | Wenbo Zhang, Fan Zhang, Jia Chen, Wei Lu |
| 2025 | Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training. | Yuanzhao Zhai, Huanxi Liu, Zhuo Zhang, Tong Lin, Kele Xu, Cheng Yang, Dawei Feng, Bo Ding, Huaimin Wang |
| 2025 | Information Retrieval for Artificial General Intelligence: A New Perspective of Information Retrieval Research. | ChengXiang Zhai |
| 2025 | Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models. | Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang |
| 2025 | Scaling Sparse and Dense Retrieval in Decoder-Only LLMs. | Hansi Zeng, Julian Killingback, Hamed Zamani |
| 2025 | Interactive Code Information Integrated Programming Knowledge Tracing. | Xueqiang Zeng, Guangcheng Fu, Haofei Chen, Qiyun Peng, Mingwen Wang |
| 2025 | Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. | Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang |
| 2025 | MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation. | Qinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen, Wentao Zhang |
| 2025 | FashionDPO: Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization. | Mingzhe Yu, Yunshan Ma, Lei Wu, Changshuo Wang, Xue Li, Lei Meng |
| 2025 | Fact-Level Calibration and Correction for Long-Form Generations. | Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng |
| 2025 | Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. | Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong |
| 2025 | Dense Retrieval for Low Resource languages - the Case of Amharic Language. | Tilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe |
| 2025 | LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. | Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen |
| 2025 | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2025 | Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition. | Zheng Yao, Shuai Wang, Guido Zuccon |
| 2025 | Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing. | Diji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang |
| 2025 | Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. | Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang |
| 2025 | Comprehensive List Generation for Multi-Generator Reranking. | Hailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai |
| 2025 | Nugget-based Annotation Protocol and Tool For Evaluating Long-form Retrieval-Augmented Generation. | Eugene Yang, Dawn J. Lawrie, Hoa Dang, Ian Soboroff, James Mayfield |
| 2025 | Multi-scenario Instance Embedding Learning for Deep Recommender Systems. | Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming |
| 2025 | From Knowledge Forgetting to Accumulation: Evolutionary Relation Path Passing for Lifelong Knowledge Graph Embedding. | Jing Yang, Xinfa Jiang, Xiaowen Jiang, Yuan Gao, Laurence T. Yang, Shaojun Zou, Shundong Yang |
| 2025 | HiLTV: Hierarchical Multi-Distribution Modeling for Lifetime Value Prediction in Online Games. | Junwei Xu, Aisi Zheng, Ling Ding, Huangbin Zhang, Zhengwei Deng, Qun Yu, Xiao-Ping Zhang |
| 2025 | Towards More Relevant Product Search Ranking with Fulfillment Intent Understanding. | Jingxu Xu, Xinyi Liu, Yang Yu, Semih Yagli, Jingbo Liu, Cun Mu |