| 2026 | Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation. | Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu |
| 2026 | OntoEL: Neuro-Symbolic Biomedical Entity Linking with Differentiable Fuzzy EL | Chang Lu, Yizheng Zhao |
| 2026 | Improving Dating Outcomes by Predicting for Conversations at Hinge. | Frankie Lu, Dan Turkel, Sihan Chen, Behrooz Afghahi |
| 2026 | From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation. | Ziang Lu, Lei Sang, Lin Mu, Yiwen Zhang |
| 2026 | SRAG: A Lightweight and Specialized Retrieval-augmented Generation System at the Edge. | Ruikun Luo, Zihan Xing, Lin Gu, Song Wu, Hai Jin, Xiaoyu Xia |
| 2026 | Building a Production Shopping Agent at Scale. | Chen Luo, Jason Choi, Ziwei Dong, Rahul Dua, Cong Xu, Xuejing Lei, Yuchen Yan, Xin Zhang, Josef Valvoda, Gaurang Sinkar, Binit Jha, Yi Liu, Monica Cheng |
| 2026 | JARVIS: An Evidence-Grounded Retrieval System for Interpretable Deceptive Reviews Adjudication. | Nan Lu, Leyang Li, Yurong Hu, Rui Lin, Shaoyi Xu |
| 2026 | Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos. | Junyu Lu, Deyi Ji, Liqun Liu, Xiaokun Zhang, Youlin Wu, Roy Ka-Wei Lee, Peng Shu, Huan Yu, Jie Jiang, Bo Xu, Liang Yang, Hongfei Lin |
| 2026 | Think, But Don't Tell: Implicit Reasoning for LLM-based Sequential Recommendation via Multi-Teacher Distillation. | Weihai Lu, Xiaoxi Cui, Chenke Yin |
| 2026 | ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender Systems. | Pierre Sicco Lubitzsch, Maarten de Rijke, Sebastian Schelter |
| 2026 | HALO: Hyperbolic Adaptation via Lift Overlay for Hierarchy-Aware Cross-Modal Retrieval. | Teng Long, Andrew Yates |
| 2026 | OpeNTF2: Fairness-aware Graph Neural Team Formation. | Hamed Loghmani, Md Jamil Ahmed, Kap Thang, Gabriel Rueda, Hossein Fani |
| 2026 | SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search. | Guowen Li, Yuepeng Zhang, Shunyu Zhang, Yi Zhang, Xiaoze Jiang, Yi Wang, Jingwei Zhuo |
| 2026 | Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery. | Xiaopeng Li, Wenlin Zhang, Yingyi Zhang, Pengyue Jia, Yejing Wang, Yichao Wang, Yong Liu, Huifeng Guo, Xiangyu Zhao |
| 2026 | User Activity Modeling under Inflated Distribution. | Xiang Li, Zhao-Yu Zhang, Chunyuan Zheng, Qingying Chen, Huiyou Jiang, Haoxuan Li, Zhouchen Lin |
| 2026 | Equip Pre-ranking with Target Attention by Residual Quantization. | Yutong Li, Yu Zhu, Yichen Qiao, Ziyu Guan, Lv Shao, Tong Liu, Bo Zheng |
| 2026 | One-for-All Community Search on Unseen Graphs. | Mo Li, Zhaosong Zhao, Linlin Ding, Renata Borovica-Gajic, Zhongming Yao, Jianxin Li |
| 2026 | Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation. | Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He, Xiaoxiao Xu, Zixiu Wang, Lantao Hu, Yongqi Liu, Han Li, Kaiqiao Zhan, Kun Gai |
| 2026 | Untitled record | Xiong Li, Yikang Yan, Zhenyu Wen, Jie Su, Qi Chen, Zhen Hong |
| 2026 | SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise. | Yuejie Li, Ke Yang, Yueying Hua, Bolin Chen, Jianhao Nie, Yueping He, Caixin Kang |
| 2026 | Revisiting Collaborative Filtering by Unleashing the Power of Similarity. | Mingyang Li, Xinlang Yue, Chen Chen, Muyang Li, Yongqi Liu, Kaiqiao Zhan |
| 2026 | Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function. | Xiang Li, Yanghao Xiao, Chunyuan Zheng, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin |
| 2026 | Inferring Targets from Calibrated Hesitations via Mutual Information Maximization in Multi-Behavior Recommendation. | Cheng Li, Yong Xu, Suhua Tang, Xin He, Jianfeng Sun, Jinde Cao |
| 2026 | Seeing the Whole Through the Parts: Discovering Objects through Semantic Part Mining in Weak Supervision. | Shucheng Li, Weixuan Xu, Le Jiang, Hao Wu, Fengyuan Xu, Fan Wu, Feng Lyu |
| 2026 | Generative Enhanced Modeling: A Collaborative Framework for Enhancing User Representations via Semantic ID. | Li Li, Wei Xu, Yu Cheng, Jianbin Lin, Can Ye |