December 2025, Volume 27, Issue 2
Editor in Chief
Associate Editors
ARTICLES
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI [1]
Archer Amon, Zhipeng Yin, Zichong Wang, Avash Palikhe, and Wenbin Zhang
Mapping Deep Learning to Blockchain Security: A Survey [13]
Vanessa Ortiz, Alexandria Bates, Gaby G. Dagher, Jun Zhuang, and Tim Andersen
Urban Planning in the Age of Agentic AI: Emerging Paradigms and Prospects [35]
Rui Liu, Tao Zhe, Zhong-Ren Peng, Necati Catbas, Xinyue Ye, Dongjie Wang, and Yanjie Fu
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting [43]
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla Reyes, Daochen Zha, and Xia Hu
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape [62]
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, and Hua Wei
Towards Uncovering How Large Language Models Work: An Interpretability Perspective [79]
Haiyan Zhao, Fan Yang, Bo Shen, Ali Payani, Himabindu Lakkaraju, and Mengnan Du
Unifying Knowledge in Agentic LLMs: Concepts, Methods, and Recent Advancements [88]
Lihui Liu, and Kais Shu
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks [97]
Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, and Yao Ma
OmniRouter: Budget and Performance Controllable Multi-LLM Routing [107]
Kai Mei, Wujiang Xu, Minghao Guo, Shuhang Lin, and Yongfeng Zhang
Special Contribution from the first workshop on SafeAI at UAI 2025
Introduction to The Special Section on Safe AI [117]
Mykola Pechenizkiy, and Stiven S. Dias
Assuring the Case: A Safety Engineering Approach to AI-Enabled Systems [124]
Scot Davidson, Oseghale Igene, and Paul Miller
DT-sampler: A SAT-based Decision Tree Ensemble [132]
Xiaotian Xue, Chao Huang, Koji Tsuda, and Diptesh Das
SpaCE-VAE: Sparse and Confident Explanations using Variational Autoencoders [142]
Alexander Liu, and Sibylle Hess
Explaining Embedding-Based Matching of Hand-Drawn Binary Symbols with Grad-CAM: A Case Study on Cattle Brands [149]
Leandra Alves Soares, Marcos Vinícius S. Medeiros, and Aldo A. Díaz-Salazar
A Non-Parametric Bayesian Approach Towards Online Sequence Learning [156]
Stiven S. Dias, Marcelo G. S. Bruno, and Alberto F. De Souza
