Papers
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models
Martin Hyben, Sebastian Kula, Jan Cegin et al.
Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection
Zhaowei Liu, Leilei Jiang, Haitao Yang
Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
Kaixi Tian, Shengjia Zhao, Yuhan Zhang et al.
Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality
Guanghui Wang, Umar Syed, Robert E. Schapire et al.
Multi-District School Choice: Playing on Several Fields
Yannai A. Gonczarowski, Michael Yin, Shirley Zhang
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
Yijun Yang, Lichao Wang, Jianping Zhang et al.
Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
Yuxi Lin, Yongkang Li, Jie Xing et al.
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
Xueqing Peng, Lingfei Qian, Yan Wang et al.
Multi-Grained Text-Guided Image Fusion for Multi-Exposure and Multi-Focus Scenarios
Mingwei Tang, Jiahao Nie, Guang Yang et al.
Multigranular Evaluation for Brain Visual Decoding
Weihao Xia, Cengiz Oztireli
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
Ming Li, Zihao Yan, Yuting Chen et al.
Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation
Yangyi Fang, Haolin Shi
Multi-granularity Interactive Attention Framework for Residual Hierarchical Pronunciation Assessment
Hong Han, Hao-Chen Pei, Zhao-Zheng Nie et al.
Multi-Granularity Semantic Revision for Large Language Model Distillation
Xiaoyu Liu, Yun Zhang, Wei Li et al.
Multi-granularity Temporal Knowledge Editing over Large Language Models
Simiao Zhao, Ning Pang, Zhen Tan et al.
Multi-graph Fusion Cross-model Contrastive Learning for Recommendation
Shengjun Ma, Yuhai Zhao, Fenglong Ma et al.
Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks
Niklas Erdmann, Lars Bentsen, Roy Stenbro et al.
MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation
Jiale Zhang, Yanan Wang, Bosen Rao et al.
Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring
Shiman Zhao, Siyuan Liu, Zhiqi Shen
Multi-Label Classification with Incremental and Decremental Features
Mingdie Jiang, Quanjiang Li, Tingjin Luo et al.
Multi-Level Blur-Aware Stable Diffusion for Region-Adaptive Defocus Deblurring
Xiaopan Li, Yi Jiang, Shiqian Wu et al.
Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction
Yuting Bai, Hanwen Lv, Wanwan Shi et al.
Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text
Zehao Wang, Lianwei Wu, Wenbo An et al.
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard et al.