Papers
Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation
Ziyin Zhang, Jiahao Xu, Tian Liang et al.
D-RAG: Differentiable Retrieval-Augmented Generation for Knowledge Graph Question Answering
Guangze Gao, Zixuan Li, Chunfeng Yuan et al.
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
Jennifer Chen, Aidar Myrzakhan, Yaxin Luo et al.
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
Fenglin Liu, Zheng Li, Hongjian Zhou et al.
Dragin3D: Image Editing by Dragging in 3D Space
Weiran Guang, Xiaoguang Gu, Mengqi Huang et al.
DragonTrack: Transformer-Enhanced Graphical Multi-Person Tracking in Complex Scenarios
Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas
DragText: Rethinking Text Embedding in Point-Based Image Editing
Gayoon Choi, Taejin Jeong, Sujung Hong et al.
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
Xueguang Ma, Xi Victoria Lin, Barlas Oguz et al.
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Wenlong Wang, Ivana Dusparic, Yucheng Shi et al.
DRaM-LHM: A Quaternion Framework for Iterative Camera Pose Estimation
Chen Lin, Weizhi Du, Zhixiang Min et al.
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
Weifeng Lin, Xinyu Wei, Ruichuan An et al.
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images
Sami Baral, Li Lucy, Ryan Knight et al.
DRAWER: Digital Reconstruction and Articulation With Environment Realism
Hongchi Xia, Entong Su, Marius Memmel et al.
Drawing Developmental Trajectory from Cortical Surface Reconstruction
Wenxuan Wu, Ruowen Qu, Zhongliang Liu et al.
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting
Yudong Zhang, Xu Wang, Xuan Yu et al.
Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models
Hyungjin Kim, Seokho Ahn, Young-Duk Seo
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
Nuo Chen, Yufei Gao, Yongnan Jin et al.
Dr. Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian
Andrei Niculae, Adrian Cosma, Cosmin Dumitrache et al.
DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off
Jusheng Zhang, Yijia Fan, Kaitong Cai et al.
DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance
Yuxuan Luo, Zhengkun Rong, Lizhen Wang et al.
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
Gaofeng Liu, Zhiyuan Ma, Tao Fang
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
Xingyu Zhu, Xiapu Luo, Xuetao Wei
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Yuang Peng, Yuxin Cui, Haomiao Tang et al.
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models
Shwetha Ram, Tal Neiman, Qianli Feng et al.