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Research

Deep Generative Model for Human Mobility Behavior

DGX agent

arXiv:2510.06473v3 Announce Type: replace-cross Abstract: Understanding and modeling human mobility is central to challenges in transport planning, sustainable urban design, and public health. Despite

researcharxiv-cs-ai

10 Jun 2026

Research

Deep learning for echo sounder data

DGX agent

arXiv:2606.10811v1 Announce Type: new Abstract: There is no doubt that over the last decade, techniques from the field of machine learning have revolutionized how we process and interpret data, especi

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Deep Generative Model for Human Mobility Behavior

Deep learning for echo sounder data

Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CT

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss

Democratising Camera Trap AI: An Open-Source Model for Detecting UK Mammals

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2

Density Ridge Selective Prediction for LLM and VLM Hallucination Detection under Calibration Label Scarcity

Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning

Deployment-Time Memorization in Foundation-Model Agents

DeRA-MOS: Optimizing Text-to-Music Evaluation via Decoupled Listwise Ranking and Modality Alignment

Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News

Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs

Detecting Speculative Language in Biomedical Texts using Recurrent Neural Tensor Networks

Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations

Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous Driving

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting

Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning

Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection

Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection

Divide-and-Conquer Modeling for the CTF-4-Science Lorenz Benchmark

Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning Signals

Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation

DMT: Demographic Conditioning, Morphology-Enhanced Transformer for Cuffless Blood Pressure Estimation from PPG Signals

Do LLMsMakeNeural Distinguishers Wise?

Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017

Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark

Do VLMs Reason Like Engineers? A Benchmark and a Stage-wise Evaluation

Does Normalization Choice Matter for Causal Large Time-Series Models?

Does Reasoning Preserve Alignment? On the Trustworthiness of Large Reasoning Models

Domain Adapted Large Language Models for Additive Manufacturing

Don't waste SAM

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching

Dropout-GRPO: Variational Stochasticity for Continuous Latent Reasoning

Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing

Dual-stream attention-guided learning for weakly supervised whole slide image classification

Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction

Dynamic Linear Attention

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines

Early-Token Confidence Predicts Reasoning Quality in Multi-Agent LLM Debate

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During Training

Effective Training Principles of Physical Reservoirs

Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding

Efficient RWKV-based Representation Learning for 3D Point Clouds

Efficient-WAM: A 1B-Parameter World-Action Model with Low-Cost Future Imagination

Efficiently Learning Drifting Halfspaces with Massart Noise