| 2026 | CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning. | Xuanzhang Liu, Jianglun Feng, Zhuoran Zhuang, Junzhe Zhao, Maofei Que, Jieting Li, Dianlei Wang, Hao Tong, Ye Chen, Pan Li |
| 2026 | Accelerating Generative Recommendation via Simple Categorical User Sequence Compression. | Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu |
| 2026 | Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. | Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani |
| 2026 | LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling. | Bo Liu, Hongyan Li, Shenda Hong |
| 2026 | Assembling Your Personal AI Council in Yupp to Provide Multiple Perspectives. | Jimmy Lin, Ronak Pradeep, Gilad Mishne, Pankaj Gupta |
| 2026 | Calibration in Dynamic Recommender Systems. | Kun Lin |
| 2026 | A Real-Time System to Populate FRA Form 57 from News. | Chansong Lim, Haz Sameen Shahgir, Yue Dong, Jia Chen, Evangelos E. Papalexakis |
| 2026 | EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation. | Yihang Li, Zhuo Liu, Wei Wei |
| 2026 | A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs. | Pei-Xuan Li, Cheng-Ru Chou, Jhe-Wei Tsai, Hsun-Ping Hsieh |
| 2026 | A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation. | Xiangming Li, Hua Chu, Chengyu Feng, Jianan Li, Yangtao Zhou, Qingshan Li, Wanqiang Yang |
| 2026 | Cyberpsychology: Emotion as the Hidden Driver of Social Behavior in Online Networks. | Kristina Lerman |
| 2026 | Rule Mining and Learning for Structured Knowledge Retrieval. | Yongjia Lei, Mahantesh Halappanavar, Yu Wang |
| 2026 | Capturing User Interests from Data Streams for Continual Sequential Recommendation. | Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu |
| 2026 | MerFT: A Framework for Social Conflict Meme Exploration via Multimodal Retrieval-Augmented Fine-tuning. | Jinkwon Lee, Giseong Kim, Hyeji Yang, Dongyoung Tcha, Hayoung Oh |
| 2026 | Sequential Data Augmentation for Generative Recommendation. | Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins |
| 2026 | WSDM CUP 2026: Multilingual Retrieval. | Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang, Andrew Yates |
| 2026 | Design and Evaluation of Whole-Page Experience Optimization for E-commerce Search. | Pratik Lahiri, Bingqing Ge, Zhou Qin, Aditya Jumde, Shuning Huo, Lucas Scottini, Yi Liu, Mahmoud Mamlouk, Wenyang Liu |
| 2026 | Fine-Tuning or In-Context Learning? Understanding Their Trade-offs in Misinformation Detection. | Han Kyul Kim, Shriniwas Nayak, Andy Skumanich |
| 2026 | Cold-Start Audiobook Recommendation via Cross-Domain Sub-Tower Fusion. | Kirandeep Kaur, Amit Goyal |
| 2026 | CausalBench+: Causal-Informed Machine Learning Benchmarking. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Huan Liu, K. Selcuk Candan |
| 2026 | Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation. | Zheng Ju, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Ruihai Dong, Aonghus Lawlor |
| 2026 | Joint Evaluation : A Human + LLM + Multi-Agents Collaborative Framework for Comprehensive AI Safety (Jo.E). | Himanshu Joshi |
| 2026 | DDIREC: Domain-Disentanglement on Item Representations for Cross-Domain Recommendation. | Pongsakorn Jirachanchaisiri, Saranya Maneeroj, Atsuhiro Takasu |
| 2026 | Why One Size Doesn't Fit All: Improving Music Discovery and Familiar Listening with Specialized Models. | Mahesh Jindal, Giuseppe Di Benedetto, Yannik Stein |
| 2026 | SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory. | Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Zhu, Dawei Cheng |