Papers
184,605 papers found
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.
DMS2F-HAD: A Dual-branch Mamba-based Spatial-Spectral Fusion Network for Hyperspectral Anomaly Detection
Aayushma Pant, Lakpa Tamang, Tsz-Kwan Lee et al.
DNA: Dual-branch Network with Adaptation for Open-Set Online Handwriting Generation
Tsai-Ling Huang, Nhat-Tuong Do-Tran, Ngoc-Hoang-Lam Le 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 LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance
Jingyi Chen, Zhimeng Guo, Jiyun Chun 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.
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi 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.
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures
Benno Uthayasooriyar, Antoine Ly, Franck Vermet et al.
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding
Junyu Xiong, Yonghui Wang, Weichao Zhao et al.
Document-Level Zero-Shot Relation Extraction with Entity Side Information
Mohan Raj, Lay-Ki Soon, Huey Fang Ong et al.
DocWaveDiff: A Predict-and-Refine approach for Document Image Enhancement with Wavelet U-Nets and Diffusion models
Matteo Marulli, Marco Bertini
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
Shuai Xiang, Pieter M. Blok, James Burridge et al.
Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks
Go Inoue, Bashar Alhafni, Nizar Habash et al.
Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation
Boxi Cao, Ruotong Pan, Hongyu Lin et al.
Do Generative Video Models Understand Physical Principles?
Saman Motamed, Laura Culp, Kevin Swersky et al.
DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models
Yara Bahram, Mohammadhadi Shateri, Eric Granger
Do GUI Grounders Truly Understand UI Elements?
Surgan Jandial, Yinheng Li, Justin Wagle et al.
Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs
Chi Zhang, Wenxuan Ding, Jiale Liu et al.
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning
Pierriccardo Olivieri, Fausto Lasca, Alessandro Gianola et al.