| 2023 | Exploring the Spatiotemporal Features of Online Food Recommendation Service. | Shaochuan Lin, Jiayan Pei, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu |
| 2023 | OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. | Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie |
| 2023 | Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. | Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie |
| 2023 | Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. | Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu |
| 2023 | EmoUS: Simulating User Emotions in Task-Oriented Dialogues. | Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic |
| 2023 | On the "Rough Use" of Machine Learning Techniques. | Chih-Jen Lin |
| 2023 | Profiling and Visualizing Dynamic Pruning Algorithms. | Zhixuan Li, Joel Mackenzie |
| 2023 | Edge-cloud Collaborative Learning with Federated and Centralized Features. | Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu |
| 2023 | LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. | Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao |
| 2023 | SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. | Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin |
| 2023 | ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. | Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu, Haoyuan Hu |
| 2023 | Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. | Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert |
| 2023 | Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. | Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min |
| 2023 | Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. | Mingchen Li, Lifu Huang |
| 2023 | Multimodal Counterfactual Learning Network for Multimedia-based Recommendation. | Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue |
| 2023 | Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. | Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu |
| 2023 | Context-Aware Modeling via Simulated Exposure Page for CTR Prediction. | Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | Constructing Tree-based Index for Efficient and Effective Dense Retrieval. | Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao |
| 2023 | Proactive Conversational Agents in the Post-ChatGPT World. | Lizi Liao, Grace Hui Yang, Chirag Shah |
| 2023 | PersonalTM: Transformer Memory for Personalized Retrieval. | Ruixue Lian, Sixing Lu, Clint Solomon, Gustavo Aguilar, Pragaash Ponnusamy, Jialong Han, Chengyuan Ma, Chenlei Guo |
| 2023 | RecStudio: Towards a Highly-Modularized Recommender System. | Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen |
| 2023 | Contrastive Box Embedding for Collaborative Reasoning. | Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin |
| 2023 | SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. | Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian |
| 2023 | Computational Versus Perceived Popularity Miscalibration in Recommender Systems. | Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl |
| 2023 | CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model. | Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin |