Papers
176,624 papers found
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
Beier Zhu, Ruoyu Wang, Tong Zhao et al.
Distilling Rule-based Knowledge into Large Language Models
Wenkai Yang, Yankai Lin, Jie Zhou et al.
Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
Xudong Li, Wenjie Nie, Yan Zhang et al.
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation
Chanyoung Kim, Dayun Ju, Woojung Han et al.
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization
Linyong Wang, Lianwei Wu, Shaoqi Song et al.
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
Wei He, Zhiheng Xi, Wanxu Zhao et al.
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models
Chengyu Wang, Junbing Yan, Yuanhao Yue et al.
DisTime: Distribution-based Time Representation for Video Large Language Models
Yingsen Zeng, Zepeng Huang, Yujie Zhong et al.
DistinctAD: Distinctive Audio Description Generation in Contexts
Bo Fang, Wenhao Wu, Qiangqiang Wu et al.
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
Hanlin Wu, Xufeng Duan, Zhenguang Cai
Distinguishing fair from unfair compositional generalization tasks
Ahmad Jabbar, Cleo Condoravdi, Christopher Potts
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
Weiming Liu, Jun Dan, Fan Wang et al.
Distraction is All You Need for Multimodal Large Language Model Jailbreaking
Zuopeng Yang, Jiluan Fan, Anli Yan et al.
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation
Xiaxin Wang, Haoyu Cai, Xiaobo Shen et al.
Distributed LLM Serving on Consumer-Grade GPUs by Reconciling Computation and Communication
Lewei Jin, Kui Zhang, Yongqi Chen et al.
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
Youcheng Niu, Jinming Xu, Ying Sun et al.
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
Cheuk Hang Leung, Yiyan Huang, Yijun Li et al.
Distributional Surgery for Language Model Activations
Bao Nguyen, Binh Nguyen, Duy Nguyen et al.
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
Chengxin Wang, Gary Tan, Swagato Barman Roy et al.
Distribution-Consistency-Guided Multi-modal Hashing
Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che et al.
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
Junfeng Kang, Rui Li, Qi Liu et al.
Distribution Estimation under the Infinity Norm
Aryeh Kontorovich, Amichai Painsky
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters
Florian Brück, Jean-David Fermanian, Aleksey Min
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework
Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi