| 2024 | The Elusiveness of Detecting Political Bias in Language Models. | Riccardo Lunardi, David La Barbera, Kevin Roitero |
| 2024 | DECO: Cooperative Order Dispatching for On-Demand Delivery with Real-Time Encounter Detection. | Yao Lu, Shuai Wang, Yu Yang, Hai Wang, Baoshen Guo, Desheng Zhang, Shuai Wang, Tian He |
| 2024 | MOAT: Graph Prompting for 3D Molecular Graphs. | Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao |
| 2024 | Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion. | Zhuofeng Li, Haoxiang Zhang, Qiannan Zhang, Ziyi Kou, Shichao Pei |
| 2024 | LLM-PQA: LLM-enhanced Prediction Query Answering. | Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai |
| 2024 | Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation. | Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li |
| 2024 | RecDiff: Diffusion Model for Social Recommendation. | Zongwei Li, Lianghao Xia, Chao Huang |
| 2024 | Knowledge-enhanced Dynamic Modeling framework for Multi-Behavior Recommendation. | Xiujuan Li, Nan Wang, Jin Zeng, Yingli Zhong, Zhonghui Shen |
| 2024 | Integrating Structure and Text for Enhancing Hyper-relational Knowledge Graph Representation via Structure Soft Prompt Tuning. | Lijie Li, Hui Wang, Jiahang Li, Xiaodi Xu, Ye Wang, Tao Ren |
| 2024 | Two Heads are Better than One: Zero-shot Cognitive Reasoning via Multi-LLM Knowledge Fusion. | Liang Liu, Dong Zhang, Shoushan Li, Guodong Zhou, Erik Cambria |
| 2024 | LeDQA: A Chinese Legal Case Document-based Question Answering Dataset. | Bulou Liu, Zhenhao Zhu, Qingyao Ai, Yiqun Liu, Yueyue Wu |
| 2024 | Demonstrating PARS: A Decision Support System for Developing Vertical Partitioning Plans. | Pengju Liu, Kai Zhong, Cuiping Li, Hong Chen |
| 2024 | RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. | Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li |
| 2024 | A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System. | Zhiqiang Liu, Xiaoxiao Xu, Jiaqi Yu, Han Xu, Lantao Hu, Han Li, Kun Gai |
| 2024 | UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations. | Yang Liu, Yitong Wang, Chenyue Feng |
| 2024 | Efficient and Robust Regularized Federated Recommendation. | Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li |
| 2024 | A Universal Sets-level Optimization Framework for Next Set Recommendation. | Yuli Liu, Min Liu, Christian Walder, Lexing Xie |
| 2024 | Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. | Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee |
| 2024 | Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. | Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen |
| 2024 | Multi-DSI: Non-deterministic Identifier and Concept Alignment for Differentiable Search Index. | Yu-Ze Liu, Jyun-Yu Jiang, Pu-Jen Cheng |
| 2024 | Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. | Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao |
| 2024 | Multi-Behavior Generative Recommendation. | Zihan Liu, Yupeng Hou, Julian J. McAuley |
| 2024 | Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. | Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu |
| 2024 | Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation. | Xin Liu, Xiaoyu Fan, Rong Ma, Kun Chen, Yi Li, Guosai Wang, Wei Xu |
| 2024 | A Universal and Interpretable Method for Enhancing Stock Price Prediction. | Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin |