| 2026 | Enhanced Cold-Start Sequential Recommendation with Causal Diffusion Preference Modeling. | Hongsheng Dong, Haolong Xiang, Xiaolong Xu, Xuyun Zhang |
| 2026 | Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity. | Abhishek Dharmaratnakar, Srivaths Ranganathan, Debanshu Das, Anushree Sinha |
| 2026 | TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval. | Mouly Dewan, Jiqun Liu, Chirag Shah |
| 2026 | TRACE: A Scalable and Extensible Framework for Auditing YouTube's Recommendation Algorithm. | Quentin Dessain, Colin Timmers, Corentin Vande Kerckhove |
| 2026 | Preface to the WSDM 2026 Workshops Companion Volume. | Andrea D'Angelo, Fabio Aurelio D'Asaro, Francesco Gullo, Makoto P. Kato, Domenico Mandaglio, Edoardo Serra, Francesca Spezzano, Giovanni Stilo |
| 2026 | TaxoDiff: Improving Taxonomy Completion with Diffusion Guided Dynamic Negative Sampling. | Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews, Kishlay Jha |
| 2026 | Continual Learning on Evolving Graphs via Mutual Information Maximization across Dynamic Node Embeddings. | Shailesh Dahal, Ratri Mukherjee, Kishlay Jha |
| 2026 | Efficient Monte Carlo Algorithms for Approximating Katz Centrality on Large Graphs. | Garrett W. Cornett, Minh Phu Vuong, Chul-Ho Lee |
| 2026 | SimDiffRec: Semantic Similarity-Guided Diffusion for Contrastive Sequential Recommendation. | Jinkyeong Choi, Yejin Noh, Donghyeon Park |
| 2026 | The Future of Personalized Universal Assistant. | Ed H. Chi |
| 2026 | WISE: Web Information Satire and Fakeness Evaluation. | Gaurab Chhetri, Subasish Das, Tausif Islam Chowdhury |
| 2026 | SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing. | Gaurab Chhetri, Subasish Das, Tausif Islam Chowdhury |
| 2026 | Uncertainty Quantification for Dynamical Networks. | Zhiqian Chen, Zonghan Zhang |
| 2026 | When Modalities Go Missing: Early Fusion for Multimodal Recommendation. | Lu Chen, Peng Yi, Xiaoyue Hou, Cheng Yang, Xiongcai Cai |
| 2026 | Large Language Model Judged Self-Training for Named Entity Recognition. | Shisong Chen, Jiaan Wang, Chengyi Yang, Yanghua Xiao, Zhixu Li, Xin Lin |
| 2026 | Multi-Personality Generation of LLMs at Decoding-time. | Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen |
| 2026 | Factorized Transport Alignment for Multimodal and Multiview E-commerce Representation Learning. | Xiwen Chen, Yen-Chieh Lien, Susan Liu, Mara Castaos, Abolfazl Razi, Xiaoting Zhao, Congzhe Su |
| 2026 | Decoupling User Features for User Cold-Start App Recommendation: Static Attributes versus Behavioral Sequences. | Bin Chen, Yu Kang, Li Ma, Yue Ding, Xiaofeng Gao |
| 2026 | ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling. | Wei Cheng, Yucheng Lu, Boyang Xia, Jiangxia Cao, Kuan Xu, Mingxing Wen, Wei Jiang, Jiaming Zhang, Zhaojie Liu, Liyin Hong, Kun Gai, Guorui Zhou |
| 2026 | Causal Discovery for Biology: From Molecular to Disease Networks. | Lu Cheng |
| 2026 | Unsupervised Dense Retrieval with Conterfactual Contrastive Learning. | Haitian Chen, Qingyao Ai, Yujia Zhou, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu |
| 2026 | Code LLMs Still Fall Short of Top Programmers: Evaluating Algorithmic Code Generation Through Computational Thinking. | Shisong Chen, Ziyu Zhou, Yicong Zhao, Chengyi Yang, Zhixu Li, Yanghua Xiao, Xin Lin, Xiaojun Meng, Jiansheng Wei, Kuien Liu |
| 2026 | Waterlogformer: A Multimodal Model for Waterlogging Prediction. | Yinan Chen, Ronghui Xu, Endai Shu, Chenjuan Guo, Bin Yang |
| 2026 | Agentic Orchestration for Adaptive Educational Recommendations: A Multi-Agent LLM Framework for Personalized Learning Pathways. | Naina Chaturvedi, Ananda Gunawardena |
| 2026 | G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations. | Li-Yang Chang, Yuan Fang, Ming-Feng Tsai, Chuan-Ju Wang |