Papers
176,624 papers found
Disentangled Information Bottleneck for Adversarial Text Defense
Yidan Xu, Xinghao Yang, Wei Liu et al.
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
Guangze Ye, Wen Wu, Guoqing Wang et al.
Disentangled Motion Modeling for Video Frame Interpolation
Jaihyun Lew, Jooyoung Choi, Chaehun Shin et al.
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
Hao Dong, Ziyue Qiao, Zhiyuan Ning et al.
Disentangled Pose and Appearance Guidance for Multi-Pose Generation
Tengfei Xiao, Yue Wu, Yuelong Li et al.
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
Na Yu, Yutong Deng, Shunyu Liu et al.
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
Qi Wang, Zhipeng Zhang, Baao Xie et al.
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
Yuwen He, Wei Wang, Wanyu Wu et al.
Disentangle Source and Target Knowledge for Continual Test-Time Adaptation
Tianyi Ma, Maoying Qiao
Disentangle to Decay: Linear Attention with Trainable Decay Factor
Haibo Tong, Chenyang Zhang, Jiayi Lin et al.
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
Zheyuan Liu, Suraj Maharjan, Fanyou Wu et al.
Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models
Yangge Qian, Yilong Hu, Siqi Zhang et al.
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
Youngjun Jun, Jiwoo Park, Kyobin Choo et al.
Disentangling Instance and Scene Contexts for 3D Semantic Scene Completion
Enyu Liu, En Yu, Sijia Chen et al.
Disentangling Language and Culture for Evaluating Multilingual Large Language Models
Jiahao Ying, Wei Tang, Yiran Zhao et al.
Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French
Jacob A. Matthews, Laurent Dubreuil, Imane Terhmina et al.
Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting
Khanh-Tung Tran, Nguyet-Hang Vu, Barry O’Sullivan et al.
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings
Saniya Karwa, Navpreet Singh
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
Wenyue Hua, Kaijie Zhu, Lingyao Li et al.
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.
Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms
Tanja Baeumel, Josef van Genabith, Simon Ostermann
Disentangling Memory and Reasoning Ability in Large Language Models
Mingyu Jin, Weidi Luo, Sitao Cheng et al.
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
Kai Guo, Jiedong Wang, Xi Peng et al.