| 2023 | Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval. | Haochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner |
| 2023 | Weighted Knowledge Graph Embedding. | Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu |
| 2023 | Robust Causal Inference for Recommender System to Overcome Noisy Confounders. | Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang |
| 2023 | RewardTLG: Learning to Temporally Language Grounding from Flexible Reward. | Yawen Zeng, Keyu Pan, Ning Han |
| 2023 | A Personalized Dense Retrieval Framework for Unified Information Access. | Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, Hamed Zamani |
| 2023 | Multivariate Representation Learning for Information Retrieval. | Hamed Zamani, Michael Bendersky |
| 2023 | Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. | Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu |
| 2023 | Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. | Donghan Yu, Yiming Yang |
| 2023 | Mixup-based Unified Framework to Overcome Gender Bias Resurgence. | Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou |
| 2023 | MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. | Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang |
| 2023 | OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. | Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu |
| 2023 | MA-MRC: A Multi-answer Machine Reading Comprehension Dataset. | Zhiang Yue, Jingping Liu, Cong Zhang, Chao Wang, Haiyun Jiang, Yue Zhang, Xianyang Tian, Zhedong Cen, Yanghua Xiao, Tong Ruan |
| 2023 | An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake. | Qin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Shiyuan Tang |
| 2023 | Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. | Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni |
| 2023 | Hydrus: Improving Personalized Quality of Experience in Short-form Video Services. | Zhiyu Yuan, Kai Ren, Gang Wang, Xin Miao |
| 2023 | Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. | Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin |
| 2023 | Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. | Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han |
| 2023 | A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. | Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli |
| 2023 | Graph Masked Autoencoder for Sequential Recommendation. | Yaowen Ye, Lianghao Xia, Chao Huang |
| 2023 | Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. | Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li |
| 2023 | End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. | Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang |
| 2023 | Friend Ranking in Online Games via Pre-training Edge Transformers. | Liang Yao, Jiazhen Peng, Shenggong Ji, Qiang Liu, Hongyun Cai, Feng He, Xu Cheng |
| 2023 | Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. | Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen |
| 2023 | Spatio-Temporal Hypergraph Learning for Next POI Recommendation. | Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu |
| 2023 | Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. | Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |