| 2026 | TRuST-M: Evaluating User Trust and Explainability in LLM-Based Web Moderation Systems. | Kamalakkannan Ravi, Hemant Surale, Jiann-Shiun Yuan |
| 2026 | Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges. | Srivaths Ranganathan, Abhishek Dharmaratnakar, Anushree Sinha, Debanshu Das |
| 2026 | ColdNet: Neural Causal Inference Under Extreme Imbalance and Sparsity. | Mahmudur Rahman, Sanskar Tewatia, Dhruv Garg |
| 2026 | PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning. | Ye Qin, Jingchao Wang, Yang Shi, Haiying Huang, Junxu Li, Weijian Liu, Tinghui Chen, Jinghui Qin |
| 2026 | Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs). | Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang |
| 2026 | DSP: A Statistically-Principled Structural Polarization Measure. | Giulia Preti, Matteo Riondato, Aristides Gionis, Gianmarco De Francisci Morales |
| 2026 | An Application for Development and Interactive Visual Engagement with the SHARECITY 200 Food Sharing Initiative (FSI) database in the CULTIVATE project. | Anastasiia Potyagalova, Hyunji Cho, Ivan Bacher, Hao Wu, Patricia Buffini, Anna R. Davies, Gareth J. F. Jones |
| 2026 | Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs. | Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang |
| 2026 | A Comprehensive Guide to Time-Series Anomaly Detection. | John Paparrizos, Paul Boniol, Qinghua Liu, Themis Palpanas |
| 2026 | HADSF: Aspect Aware Semantic Control for Explainable Recommendation. | Zheng Nie, Peijie Sun |
| 2026 | SHIELD: A Framework for Online Conversational AI System for Self-Regulated Learning at Emergency Communications Centers. | Ramya Sreekanta Nayaka, Ritesh Somashekar, Kathryn B. Laskey, Linton Wells, Hemant Purohit |
| 2026 | Causal Reasoning in the Era of Large Language Models. | Raha Moraffah |
| 2026 | CelebCaption: A Benchmark Dataset for Identity-Sensitive Unlearning in Image Captioning. | Hakjun Moon, Simon S. Woo |
| 2026 | How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion. | Sooho Moon, Yunyong Ko |
| 2026 | Stealing Black-box Hyperdimensional Computing Models Without Data. | Dongning Ma, Ruixuan Wang, Xun Jiao |
| 2026 | SciGraph-LLM: Automatic Knowledge Graph Construction from Scientific Papers. | Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Aleksei S. Borodulin, Andrei P. Gantimurov, Vladimir A. Nelyub, Dmitry Martysyuk |
| 2026 | Building Human-Aligned AI through Representation Augmentation and Structuring. | Hanjia Lyu |
| 2026 | Time-Aware Adaptive Side Information Fusion for Sequential Recommendation. | Jie Luo, Wenyu Zhang, Xinming Zhang, Yuan Fang |
| 2026 | ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction. | Jess Lovn-Melgarejo, Jos G. Moreno, Christine Damase-Michel, Lynda Tamine |
| 2026 | Sharpness-aware Federated Graph Learning. | Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao, Zhiqiang Xu |
| 2026 | Spectral Modeling of Periodic Phenomena in Scientific Data via Fourier-Galerkin Representation. | Isabella Li, Zigan Wang |
| 2026 | CAT-ID | Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin |
| 2026 | APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce. | Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Zhuoran Zhuang |
| 2026 | Confounder-Aware Causal Graph Learning Framework for Multivariate Time Series Analysis. | Bo Liu, Yuefeng Ma |
| 2026 | Hybrid Dual-Semantics Modeling for Enhancing Large Language Model Based Recommendation. | Canyi Liu, Tianyi Li, Wei Li, Youchen Zhang, Xiaodong Li, Hui Li |