| 2023 | MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. | Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li |
| 2023 | Candidate-aware Graph Contrastive Learning for Recommendation. | Wei He, Guohao Sun, Jinhu Lu, Xiu Susie Fang |
| 2023 | DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning. | Tianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang |
| 2023 | Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models. | Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen |
| 2023 | Multiple Topics Community Detection in Attributed Networks. | Chaobo He, Junwei Cheng, Guohua Chen, Yong Tang |
| 2023 | Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. | Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus |
| 2023 | ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments. | Siqi Han, Yu Wang, Xuesong Lu |
| 2023 | Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities. | Christophe Van Gysel |
| 2023 | Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2023 | Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | Towards Explainable Conversational Recommender Systems. | Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren |
| 2023 | PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. | Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen |
| 2023 | SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. | Fang Guo, Yun Luo, Linyi Yang, Yue Zhang |
| 2023 | On Answer Position Bias in Transformers for Question Answering. | Rafael Glater, Rodrygo L. T. Santos |
| 2023 | Searching for Reliable Facts over a Medical Knowledge Base. | Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso |
| 2023 | BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. | Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha |
| 2023 | Cross-Market Product-Related Question Answering. | Negin Ghasemi, Mohammad Aliannejadi, Hamed R. Bonab, Evangelos Kanoulas, Arjen P. de Vries, James Allan, Djoerd Hiemstra |
| 2023 | Linked-DocRED - Enhancing DocRED with Entity-Linking to Evaluate End-To-End Document-Level Information Extraction Pipelines. | Pierre-Yves Genest, Pierre-Edouard Portier, Eld Egyed-Zsigmond, Martino Lovisetto |
| 2023 | AutoTransfer: Instance Transfer for Cross-Domain Recommendations. | Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang |
| 2023 | Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. | Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li |
| 2023 | Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. | Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang |
| 2023 | Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. | Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan |
| 2023 | Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. | Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He |
| 2023 | AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. | Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu |
| 2023 | Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. | Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi |