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SIGKDD Explorations, Volume 27

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Volume 27, Number 1, June 2025

Contributed Articles

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Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du:
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. 1-9
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Dong Shu, Chong Zhang, Mingyu Jin, Zihao Zhou, Lingyao Li:
AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models. 10-19
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Zhaoyang Cao, John Nguyen, Reza Zafarani:
Is Less Really More? Fake News Detection with Limited Information. 20-31
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Konstantinos Theocharidis, Hady W. Lauw:
The b2biers System: A Content-Based Perspective on Maximizing Influence and Subscription in Social Networks. 32-51
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Jaime Hieu Do, Hady W. Lauw:
Dual-Target Disjointed Cross-Domain Recommendation Mediated via Latent User Preferences. 52-61
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Jianchao Ji, Yutong Chen, Mingyu Jin, Wujiang Xu, Wenyue Hua, Yongfeng Zhang:
MoralBench: Moral Evaluation of LLMs. 62-71
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Ludovic Arga, François Bélorgey, Arnaud Braud, Romain Carbou, Nathalie Charbonniaud, Catherine Colomes, Lionel Delphin-Poulat, David Excoffier, Christel Fauché, Thomas George, Frédéric Guyard, Thomas Hassan, Quentin Lampin, Vincent Lemaire, Pierre Nodet, Pawel Piotrowski, Krzysztof Sapiejewski, Emilie Sirvent-Hien, Tamara Tosic:
Frugal AI: Introduction, Concepts, Development and Open Questions. 72-111
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Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu:
Advancing Table Understanding of Large Language Models via Feature Re-ordering. 112-123
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Lihui Liu, Zihao Wang, Hanghang Tong:
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective. 124-136
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Yifan Ding, Michael Yankoski, Tim Weninger:
Span-Oriented Information Extraction: A Unified Framework. 137-155

Volume 27, Number 2, December 2025

Contributed Articles

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Archer Amon, Zhipeng Yin, Zichong Wang, Avash Palikhe, Tongjia Yu, Wenbin Zhang:
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. 1-12
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Vanessa Ortiz, Alexandria Bates, Gaby G. Dagher, Jun Zhuang, Tim Andersen:
Mapping Deep Learning to Blockchain Security: A Survey. 13-34
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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. 35-42
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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, Xia Hu:
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting. 43-61
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Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei:
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape. 62-78
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Haiyan Zhao, Fan Yang, Bo Shen, Ali Payani, Himabindu Lakkaraju, Mengnan Du:
Towards Uncovering How Large Language ModelsWork: An Interpretability Perspective. 79-87
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Lihui Liu, Kai Shu:
Unifying Knowledge in Agentic LLMs: Concepts, Methods, and Recent Advancements. 88-96
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Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma:
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. 97-106
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Kai Mei, Wujiang Xu, Minghao Guo, Shuhang Lin, Yongfeng Zhang:
OmniRouter: Budget and Performance Controllable Multi-LLM Routing. 107-116

Special Contribution from the first workshop on SafeAI at UAI 2025

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Mykola Pechenizkiy, Stiven S. Dias:
Introduction to The Special Section on Safe AI. 117-123
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Scot Davidson, Oseghale Igene, Paul Miller:
Assuring the Case: A Safety Engineering Approach to AI-Enabled Systems. 124-131
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Xiaotian Xue, Chao Huang, Koji Tsuda, Diptesh Das:
DT-sampler: A SAT-based Decision Tree Ensemble. 132-141
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Alexander Liu, Sibylle Hess:
SpaCE-VAE: Sparse and Confident Explanations usingVariational Autoencoders. 142-148
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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. 149-155
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Stiven S. Dias, Marcelo G. S. Bruno, Alberto F. De Souza:
A Non-Parametric Bayesian Approach Towards OnlineSequence Learning. 156-167

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