| 2026 | Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation. | Bokai Lin, Naijun Gao, Yucen Gao, Heng Chang, Cheng Hu, Zhinan Zhang, Xiaofeng Gao |
| 2026 | Retrieval-Augmented Multimodal Model for Fake News Detection. | Yiheng Li, Weihai Lu, Hanyi Yu, Yue Wang |
| 2026 | TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models. | Ce Li, Xiaofan Liu, Zhiyan Song, Ce Chi, Boshen Shi, Chen Zhao, Guanguang Chang, Zhendong Wang, Kexin Yang, Xing Wang, Chao Deng, Junlan Feng |
| 2026 | An Action-Aware Generative Sequence Modeling for Short Video Recommendation. | Wenhao Li, Zihan Lin, Zhengxiao Guo, Jie Zhou, Shukai Liu, Yongqi Liu, Chuan Luo |
| 2026 | Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion. | Yuan Li, Jun Hu, Jiaxin Jiang, Bryan Hooi, Bingsheng He |
| 2026 | Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems. | Zihan Li, Gustavo Escobedo, Marta Moscati, Oleg Lesota, Markus Schedl |
| 2026 | Spectral Tempering for Embedding Compression in Dense Passage Retrieval. | Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas |
| 2026 | Hierarchical Cluster-based Open-World Graph Active Learning. | Yayong Li, Zhengyi Du, Hong Zhang, Jonathan Wilton, Jinran Wu, Zongli Liu, Nan Ye |
| 2026 | Answer First, Evidence Second? Uncovering Hidden Risks in Well-Structured AI Search Summaries. | Jinman Li, Xuanang Chen, Ruoxi Xu, Hongyu Lin, Yaojie Lu, Zecheng Fan, Xianpei Han, Le Sun |
| 2026 | Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment. | Jingzhi Li, Zhiyong Cheng, Richang Hong, Meng Wang |
| 2026 | A Comparative Study of Users' Information-Seeking Practices Across Search Engines and Generative AI Chatbots. | Elsa Lichtenegger, Aleksandra Urman, Aniko Hannak |
| 2026 | NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large Language Models. | Zenghua Liao, Jinzhi Liao, Xiang Zhao |
| 2026 | FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters. | Zhilin Liang, Yuxiang Wang, Zimu Zhou, Hainan Zhang, Boyi Liu, Yongxin Tong |
| 2026 | Auditing Query Drift: Do Users Actually Benefit from Pseudo-Relevance Feedback? | Zeyan Liang, Graham McDonald, Iadh Ounis |
| 2026 | How Should Multimodal Information Be Chunked for Complex Question Answering? | Kangheng Liang |
| 2026 | Countering Interest Over-Smoothing: Distilling Latent Factors via Diffusion for Multi-Interest Retrieval. | Yankun Le, Fu Zhang, Haoran Li, Baoyuan Ou, Yingjie Qin, Zhixuan Yang, Ruilong Su |
| 2026 | Refairmulate: A Large-Scale Dataset for Gender-Fair Query Reformulations. | Hai Son Le, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2026 | Graph Diffusion Gated Embeddings for Recommender Systems. | Seungcheol Lee, Taeyoung Roh, Jiho Seo, Soohyun Lim |
| 2026 | PEARL: Profile-based Explainable Agent for Edge LLM Recommendation via Latent Decomposition. | Jinkwon Lee, Hayoung Oh |
| 2026 | SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation. | Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, Seongku Kang |
| 2026 | ACE: Anisotropy-Controllable Embedding for LLM-enhanced Sequential Recommendation. | Dongcheol Lee, Hye-young Kim, Jongwuk Lee |
| 2026 | Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders. | Jaehyun Lee, Sanghwan Jang, Seongku Kang, Hwanjo Yu |
| 2026 | Graph-Enhanced Sentence Retrieval for Multi-Document Summarization in Low-Resource Languages. | Xuan-Hung Le, Thi Toan Do, Hoang-Quynh Le |
| 2026 | GeoSearch: Augmenting Worldwide Geolocalization with Web-Scale Reverse Image Search and Image Matching. | Tung-Duong Le-Duc, Hoang-Quoc Nguyen-Son, Minh-Son Dao |
| 2026 | Multi-Perspective Driven Expected Location Preferences for Next POI Recommendations. | Pengxiang Lan, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Hai Zhao |