| 1 | -- | 12 | Archer Amon, Zhipeng Yin, Zichong Wang, Avash Palikhe, Tongjia Yu, Wenbin Zhang 0002. Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI |
| 13 | -- | 34 | Vanessa Ortiz, Alexandria Bates, Gaby G. Dagher, Jun Zhuang 0004, Tim Andersen. Mapping Deep Learning to Blockchain Security: A Survey |
| 35 | -- | 42 | Rui Liu, Tao Zhe, Zhong-Ren Peng, Necati Catbas, Xinyue Ye, Dongjie Wang, Yanjie Fu. Urban Planning in the Age of Agentic AI: Emerging Paradigms and Prospects |
| 43 | -- | 61 | Yu-Neng Chuang, Songchen Li, Jiayi Yuan 0001, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang 0002, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu 0001. LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting |
| 62 | -- | 78 | Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei 0001. Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape |
| 79 | -- | 87 | Haiyan Zhao 0003, Fan Yang 0023, Bo Shen, Ali Payani, Himabindu Lakkaraju, Mengnan Du. Towards Uncovering How Large Language ModelsWork: An Interpretability Perspective |
| 88 | -- | 96 | Lihui Liu, Kai Shu. Unifying Knowledge in Agentic LLMs: Concepts, Methods, and Recent Advancements |
| 97 | -- | 106 | Qian Ma 0012, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng 0001, Suhang Wang, Philip S. Yu, Yao Ma 0001. Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks |
| 107 | -- | 116 | Kai Mei, Wujiang Xu, Minghao Guo, Shuhang Lin, Yongfeng Zhang 0003. OmniRouter: Budget and Performance Controllable Multi-LLM Routing |
| 117 | -- | 123 | Mykola Pechenizkiy, Stiven S. Dias. Introduction to The Special Section on Safe AI |
| 124 | -- | 131 | Scot Davidson, Oseghale Igene, Paul Miller. Assuring the Case: A Safety Engineering Approach to AI-Enabled Systems |
| 132 | -- | 141 | Xiaotian Xue, Chao Huang, Koji Tsuda, Diptesh Das. DT-sampler: A SAT-based Decision Tree Ensemble |
| 142 | -- | 148 | Alexander Liu, Sibylle Hess. SpaCE-VAE: Sparse and Confident Explanations usingVariational Autoencoders |
| 149 | -- | 155 | Leandra A. Soares, Marcos Vinicius S. Medeiros, Aldo A. Díaz-Salazar. Explaining Embedding-Based Matching of Hand-DrawnBinary Symbols with Grad-CAM: A Case Study on CattleBrands |
| 156 | -- | 167 | Stiven S. Dias, Marcelo G. S. Bruno, Alberto F. De Souza. A Non-Parametric Bayesian Approach Towards OnlineSequence Learning |