Papers
184,605 papers found
DIALECTIC: A Multi-Agent System for Startup Evaluation
Jae Yoon Bae, Simon Malberg, Joyce Ann Clarize Galang et al.
Dialect Matters: Cross-Lingual ASR Transfer for Low-Resource Indic Language Varieties
Akriti Dhasmana, Aarohi Srivastava, David Chiang
DialoGen: Towards Dialog Gesture Generation via Identity-Decoupled Style Guidance in Interactive Diffusion Model
Weiyu Zhao, Chenyang Wang, Liangxiao Hu et al.
DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors
Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon et al.
DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning
Ruixuan Gao, Qijun Zhao, Keren Fu
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
Bo Han, Zhuoming Li, Xiaoyu Wang et al.
DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models
Xiaoxiao He, Quan Dao, Ligong Han et al.
DICE: Distilling Classifier-Free Guidance into Text Embeddings
Zhenyu Zhou, Defang Chen, Can Wang et al.
DIET: Machine Unlearning on a Data-Diet
Nilakshan Kunananthaseelan, Jing Wu, Trung Le et al.
DIFFA: Large Language Diffusion Models Can Listen and Understand
Jiaming Zhou, Hongjie Chen, Shiwan Zhao et al.
DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
Jiajun Jiao, Haowei Zhu, Puyuan Yang et al.
Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models
Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda et al.
Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving
Bin Rao, Chengyue Wang, Haicheng Liao et al.
Differentiable Sparse Identification of Lagrangian Dynamics
Zitong Zhang, Hao Sun
Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction
Alexander Benvenuti, Brendan Bialy, Miriam Dennis et al.
Differentially Private Subspace Fine-Tuning for Large Language Models
Lele Zheng, Xiang Wang, Tao Zhang et al.
Differentiated Directional Intervention: A Framework for Evading LLM Safety Alignment
Peng Zhang, Peijie Sun
Different Time, Different Language: Revisiting the Bias Against Non-Native Speakers in GPT Detectors
Adnan Al Ali, Jindřich Helcl, Jindřich Libovický
Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection
Soyul Lee, Seungmin Baek, Dongbo Min
Difficulty-Aware Learning Curve Extrapolation
Mengyang Li, Pinlong Zhao
Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data
Zerun Wang, Jiafeng Mao, Xueting Wang et al.
Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility
Zishang Jiang, Jinyi Han, Tingyun Li et al.
DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
Chenxu Han, Sean Bin Yang, Jilin Hu
Diff-NAT: Better Naturalistic and Aggressive Adversarial Attacks via Class-Optimized Diffusion for Object Detection
Qinglong Yan, Tong Zou, Xunpeng Yi et al.
DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
Shiyan Su, Ruyi Zha, Danli Shi et al.