Papers
20,003 papers found
Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting
Zhixin Liu, Xuanlin Liu, Sihan Xu et al.
Beyond I’m Sorry, I Can’t: Dissecting Large-Language-Model Refusal
Nirmalendu Prakash, Yeo Wei Jie, Amir Abdullah et al.
Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection
Jie Lian, Zhihao Wu, Jielong Lu et al.
Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification
Xin Qin, Mengna Liu, Wenjie Wang et al.
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
Tianmeng Hu, Yongzheng Cui, Rui Tang et al.
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
Jieting Wang, Huimei Shi, Feijiang Li et al.
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim et al.
Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation
Yuan Wang, Shujian Gao, Jiaxiang Liu et al.
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Jiexi Liu, Meng Cao, Songcan Chen
Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration
Ante Wang, Yujie Lin, Jingyao Liu et al.
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali et al.
Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score
Zhanghao Hu, Qinglin Zhu, Siya Qi et al.
Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection
Puzhen Su, Haoran Yin, Miao Yongzhu et al.
Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition
Kai Zhao, Liting Ruan, Haoran Jiang et al.
Beyond Prompting: AI Safety Education in the Generative AI Era
Phan Xuan Tan, Eiji Kamioka, Van Nguyen
Beyond Quadratic: Linear-Time Change Detection with RWKV
Zhenyu Yang, Gensheng Pei, Tao Chen et al.
Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning
Xiaolong Wei, Yuehu Dong, Xingliang Wang et al.
Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models
Yongguang Li, Jindong Li, Qi Wang et al.
Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
Chenming Zhou, Jiaan Wang, Yu Li et al.
Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning
Yanan Chen, Tieliang Gong, Yunjiao Zhang et al.
Beyond Sharpness: The Role of Nonuniformity in Generalization
Yingcong Zhou, Pingfan Wu, Li Wang et al.
Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing
Chun-Hsiao Yeh, Yilin Wang, Nanxuan Zhao et al.
Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks
Zhijie Wang, Lin Wang, Zhenyu Wen et al.
Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling
Hongwei Wang, Yangru Huang, Guangyao Chen et al.