Papers
20,003 papers found
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
Runmin Cong, Anpeng Wang, Bin Wan et al.
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
Xingyue Zhao, Wenke Huang, Xingguang Wang et al.
Dividing Indivisible Items for the Benefit of All: It Is Hard to Be Fair Without Social Awareness
Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith et al.
DLDA: Unified Dual-Level Domain Adaptation for Low-Light Object Detection
Jiayi Hu, Qian Zhao, Gang Li
DLVINet: Advancing Dual-Lens Video Inpainting Beyond Parallax Constraints
Zhiliang Wu, Kun Li, Yunqiu Xu et al.
DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
Baili Xiao, Ke Liang, Jiaqi Jin et al.
DMGINE: Day-Memory Guided Nighttime Image Enhancement for Dynamic Traffic Scenes
Ruizhou Liu, Zhe Wu, Zimo Liu et al.
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
Zhuoxing Wei, Qingchen Xie, Qi Liu et al.
DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis
Yinghao Aaron Li, Xilin Jiang, Fei Tao et al.
DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations
Shouyi Lu, Huanyu Zhou, Guirong Zhuo et al.
DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs
Oluwanifemi Bamgbose, Masoud Hashemi, Sathwik Tejaswi Madhusudhan et al.
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
Jia Li, Wenjie Zhao, Ziru Huang et al.
DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew
Zhou Tan, De Li, Yirui Huang et al.
Docora: A System for Interactive Knowledge Extraction and Visualization from Scientific PDFs
Dinh-Truong Do, Hoang-An Trieu, Van-Thuy Phi et al.
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding
Junyu Xiong, Yonghui Wang, Weichao Zhao et al.
Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation
Boxi Cao, Ruotong Pan, Hongyu Lin et al.
DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models
Yara Bahram, Mohammadhadi Shateri, Eric Granger
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning
Pierriccardo Olivieri, Fausto Lasca, Alessandro Gianola et al.
DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection
Shiwang Xing, Jianwei Niu, Tao Ren
Do Language Models Associate Sound with Meaning? A Multimodal Study of Sound Symbolism
Jinhong Jeong, Sunghyun Lee, Jaeyoung Lee et al.
Do Large Language Models (LLMs) Understand Chronology? (Student Abstract)
Pattaraphon Kenny Wongchamcharoen, Paul Glasserman
Do Large Language Models Reason About Uncertainty Like Humans? A Benchmark on Hurricane Forecast Visualization Comprehension
Le Liu, Yuhao Wang, Bohan Shen et al.
Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI
Yu Lei, Xingyang Ge, Yi Zhang et al.
Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
Xinran Li, Yu Liu, Jiaqi Qiao et al.
Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy
Andrea Brunello, Luca Geatti, Michele Mignani et al.