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Safety

Discrete Flow Maps

DGX agent

arXiv:2604.09784v1 Announce Type: cross Abstract: The sequential nature of autoregressive next-token prediction imposes a fundamental speed limit on large language models. While continuous flow models

safetyarxiv-cs-lg

14 Apr 2026

Applications

Disentangled Point Diffusion for Precise Object Placement

DGX agent

arXiv:2604.11793v1 Announce Type: new Abstract: Recent advances in robotic manipulation have highlighted the effectiveness of learning from demonstration. However, while end-to-end policies excel in e

All entries

Discrete Flow Maps

Disentangled Point Diffusion for Precise Object Placement

DiSPA: Differential Substructure-Pathway Attention for Drug Response Prediction

DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment

Distributionally Robust K-Means Clustering

Distributionally Robust PAC-Bayesian Control

Do Agent Rules Shape or Distort? Guardrails Beat Guidance in Coding Agents

Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction

Do Instance Priors Help Weakly Supervised Semantic Segmentation?

Do LLMs Build Spatial World Models? Evidence from Grid-World Maze Tasks

Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations

Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment

Do Neurons Dream of Primitive Operators? Wake-Sleep Compression Rediscovers Schank's Event Semantics

Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding

Do vision models perceive illusory motion in static images like humans?

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems

Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models

DocRevive: A Unified Pipeline for Document Text Restoration

Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection

Domain-Aware Hybrid Quantum Learning via Correlation-Guided Circuit Design for Crime Pattern Analytics

Domain-Specific Data Generation Framework for RAG Adaptation

DoReMi: Bridging 3D Domains via Topology-Aware Domain-Representation Mixture of Experts

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation

DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments

DreamKG: A KG-Augmented Conversational System for People Experiencing Homelessness

DRIFT: Deep Restoration, ISP Fusion, and Tone-mapping

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

Dual-Branch Remote Sensing Infrared Image Super-Resolution

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation

Dual-Exposure Imaging with Events

Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy

Dual-R-DETR: Resolving Query Competition with Pairwise Routing in Transformer Decoders

DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode

Duration-Informed Workload Scheduler

Dyadic Partnership(DP): A Missing Link Towards Full Autonomy in Medical Robotics

Dynamic Adaptive Attention and Supervised Contrastive Learning: A Novel Hybrid Framework for Text Sentiment Classification

Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks

Dynamic Summary Generation for Interpretable Multimodal Depression Detection

DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning

EagleVision: A Multi-Task Benchmark for Cross-Domain Perception in High-Speed Autonomous Racing

Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models

ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios

Echoes of Automation: The Increasing Use of LLMs in Newsmaking

EDFNet: Early Fusion of Edge and Depth for Thin-Obstacle Segmentation in UAV Navigation

EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models

EdgeDAM: Real-time Object Tracking for Mobile Devices

EditCrafter: Tuning-free High-Resolution Image Editing via Pretrained Diffusion Model