Papers
20,003 papers found
Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
Thomas Manzini, Priyankari Perali, Robin R. Murphy
Dep-MAP: A Multi-level Alignment Framework with Semantic Prototypes for Video-based Automatic Depression Assessment
Hao Wang, Jiayu Ye, Qingxiang Wang
DEPO: Dual-Efficiency Preference Optimization for LLM Agents
Sirui Chen, Mengshi Zhao, Lei Xu et al.
Depth-Synergized Mamba Meets Memory Experts for All-Day Image Reflection Separation
Siyan Fang, Long Peng, Yuntao Wang et al.
Dereflection Any Image with Diffusion Priors and Diversified Data
Jichen Hu, Chen Yang, Zanwei Zhou et al.
Description Logics with Two Types of Definite Descriptions: Complexity, Expressiveness, and Automated Deduction
Michał Sochański, Przemysław Andrzej Wałęga, Michał Zawidzki
Designed to Spread: A Generative Approach to Enhance Information Diffusion
Ziqing Qian, Jiaying Lei, Shengqi Dang et al.
Designing Incident Reporting Systems for Harms from General-Purpose AI
Kevin Wei, Lennart Heim
Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents
Gennaro Auricchio, Jie Zhang
Designing Truthful Mechanisms for Asymptotic Fair Division
Jugal Garg, Vishnu V. Narayan, Yuang Eric Shen
DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression
Pengyu Cheng, Jiacheng Wang, Tianle Chen et al.
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
Yuankun Xie, Ruibo Fu, Xiaopeng Wang et al.
Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract)
Nipun Misra, Vikranth Udandarao
Detecting Compute Structuring in AI Governance Is Likely Feasible
Emmanouil Seferis, Timothy Fist
Detecting Emotional Dynamic Trajectories: An Evaluation Framework for Emotional Support in Language Models
Zhouxing Tan, Ruochong Xiong, Yulong Wan et al.
Detecting Fake News in Short Videos Through Multi-View Aggregation
Nuo Li, Yuan Xiong, Chengliang Liu et al.
Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
Ivan Karpukhin, Andrey Savchenko
Detecting Unobserved Confounders: A Kernelized Regression Approach
Yikai Chen, Yunxin Mao, Chunyuan Zheng et al.
Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract)
Abu Kaisar Mohammad Masum, Sercan Aygun
DETONATE – A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization
Renjith Prasad Kaippilly Mana, Abhilekh Borah, Hasnat Md Abdullah et al.
DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes
Mogens Henrik From, Jacob Nielsen, Lukas Galke et al.
Deviation Dynamics in Cardinal Hedonic Games
Valentin Zech, Martin Bullinger
DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
Yifan Zhong, Xuchuan Huang, Ruochong Li et al.