| 2026 | Anomaly Edge Detection in Dynamic Graphs Based on Hyperbolic Graph Neural Networks. | Jing He, Lin Chen, Wei Guo, Cheng Luo, Chengping Gong, Mian Wang |
| 2026 | Backdooring Societal Bias into Instruction-Tuned Large Language Models Via Virtual Prompt Injection. | Farsheed Haque, Arpita Ghosh, Depeng Xu, Shuhan Yuan |
| 2026 | Probabilistic-Gap-Driven Relabeling Method for Positive-Negative-Unlabeled Learning with Label Selection Bias. | Yuzhe Han, Peng Zhang |
| 2026 | Unified Local and Global Structure Learning for Feature Selection. | Xinjie Han, Cong Lei, Yuhao Jiang, Jiayang Su, Shuyu Li, Guoqiu Wen |
| 2026 | EXCODER: EXplainable Classification Of DiscretE Time Series Representations. | Yannik Hahn, Antonin Knigsfeld, Hasan Tercan, Tobias Meisen |
| 2026 | CSP-HEIDI Visualising Closest Subspace Points in R | Tanish Gupta, Kamalakar Karlapalem |
| 2026 | Graph-Based Learning for Taxonomy Optimization. | Riya Gupta, Arnab Dutta |
| 2026 | SAGE: Semantic Alignment and Geometric Enhancement for Efficient Few-Shot Intent Detection. | Xianyu Guo, Jiebin Huang, Jindian Su |
| 2026 | Prototype Fusion: A Training-Free Multi-layer Approach to OOD Detection. | Shreen Gul, Mohamed Elmahallawy, Ardhendu Tripathy, Sanjay Madria |
| 2026 | MACA: A Framework for Distilling Trustworthy LLMs into Efficient Retrievers. | Satya Swaroop Gudipudi, Sahil Girhepuje, Ponnurangam Kumaraguru, Kristine Ma |
| 2026 | HS-GPBoost: A Spatial-Feature Framework for Explainable County-Level Health Prediction. | Niklas Grau, Sami El Yaagoubi, Shailik Sarkar, Abdulaziz Alhamadani |
| 2026 | nCLEAR: Nonlinear Coupled Latent Embedding for Cross-Sectional Asset Returns. | Bhaskar Goswami, Ajim Uddin, Dantong Yu |
| 2026 | Differentiable Zero-One Loss via Hypersimplex Projections. | Camilo Gomez, Pengyang Wang, Liansheng Tang |
| 2026 | AI-Generated Image Detection Based on the Most Suspicious Patch. | Hang Gao, Mengting Hu, Tiegang Gao |
| 2026 | TabTokWak: Token(less)-Value Watermarking for Tabular Foundational Models. | Jeroen M. Galjaard, Chaoyi Zhu, Robert Birke, Pin-Yu Chen, Cornelis Bos, Lydia Y. Chen |
| 2026 | AIssistant: Human-AI Collaborative Review and Perspective Research Workflows in Data Science. | Sasi Kiran Gaddipati, Farhana Keya, Gollam Rabby, Sren Auer |
| 2026 | From Informal Descriptions to Formal MILP Models Through a Multi-Agent Approach with Structured Knowledge Integration. | Jyotheesh Gaddam, Qingyang Li, Lele Zhang, Bahadorreza Ofoghi, Diego Moll Aliod |
| 2026 | AEGI: Anchor Event Guided Inference for TKGQA. | Yuqing Fu, Yimin Deng, Yejing Wang, Li Zhu, Xueming Qian, Guoshuai Zhao, Xiangyu Zhao |
| 2026 | Are There Any Hidden Agents in Your Recommendations? Anomaly Detection via Structure Purification and Stability Verification. | Yan Feng, Zhihai Yang, Kexin Li, Yufei Ji |
| 2026 | GPAT: Graph Prompt and Adapter Tuning for Graph Transfer Learning. | Yongjun Fan, Ying Wang |
| 2026 | Partial Multi-label Learning via Label Anchor Graph. | Jinfu Fan, Fuyu Qi, Linqing Huang, Jian Feng, Zhiyong Li, Qingkai Bu, Wenpeng Lu |
| 2026 | Federated Co-tuning Framework for Large and Small Language Models. | Tao Fan, Yan Kang, Guoqiang Ma, Lixin Fan, Shuoling Liu, Kai Chen, Qiang Yang |
| 2026 | Enhancing Financial Reasoning via Program-of-Thought Learning. | Kelvin Du, Hong Xiang Liong, Basil Yap, Shikhar Saxena, Durga Naga Venkata Ramarao Alamuri, Rajanikanth Annam |
| 2026 | A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective. | Huaming Du, Cancan Feng, Yuqian Lei, Chenyang Zhang, Guisong Liu, Gang Kou, Carl Yang, Yu Zhao |
| 2026 | When +1% is Not Enough: A Paired Bootstrap Protocol for Evaluating Small Improvements. | Wenzhang Du |