Papers
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li et al.
CAT: A Unified Click-and-Track Framework for Realistic Tracking
Yongsheng Yuan, Jie Zhao, Dong Wang et al.
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O Tørring, Carl Hvarfner, Luigi Nardi et al.
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
Kairong Han, Wenshuo Zhao, Ziyu Zhao et al.
CATCH: A Novel Data Synthesis Framework for High Therapy Fidelity and Memory-Driven Planning Chain of Thought in AI Counseling
Mingyu Chen, Jingkai Lin, Zhaojie Chu et al.
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu, Xiangfei Qiu, Zhengyu Li et al.
Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation
Haozhe Ma, Fangling Li, Jing Yu Lim et al.
Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors
Zhengxiang Wang, Nafis Irtiza Tripto, Solha Park et al.
Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
Yiyang Fang, Jian Liang, Wenke Huang et al.
CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
Sen Peng, Mingyue Wang, Jianfei He et al.
CateEA: Enhancing Entity Alignment via Implicit Category Supervision
Guan Dong Feng, Tao Ren, Jun Hu et al.
CATE Estimation With Potential Outcome Imputation From Local Regression
Ahmed Aloui, Juncheng Dong, Cat Phuoc Le et al.
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification
Minghui Chen, Dayan Wu, Chenxu Yang et al.
Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
Tyler Kastner, Mark Rowland, Yunhao Tang et al.
Categorical Schrödinger Bridge Matching
Grigoriy Ksenofontov, Alexander Korotin
Categorical Semantics of Compositional Reinforcement Learning
Georgios Bakirtzis, Michail Savvas, Ufuk Topcu
Category-Agnostic Neural Object Rigging
Guangzhao He, Chen Geng, Shangzhe Wu et al.
Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss
Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa
Category Prompt Mamba Network for Nuclei Segmentation and Classification
Ye Zhang, Zijie Fang, Yifeng Wang et al.
Category-Specific Selective Feature Enhancement for Long-Tailed Multi-Label Image Classification
Ruiqi Du, Xu Tang, Xiangrong Zhang et al.
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
Haoyun Jiang, Haolin Li, Jianwei Zhang et al.
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
Wenju Sun, Qingyong Li, Yangliao Geng et al.
CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines
Gerry Wan, Shinan Liu, Francesco Bronzino et al.