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Research

Block-Based Double Decoders

DGX agent

arXiv:2605.18807v1 Announce Type: cross Abstract: Encoder-decoder models offer substantial inference-time savings over decoder-only models, but their pretraining objectives suffer from sparse supervis

researcharxiv-cs-ai

20 May 2026

Research

Block-Sphere Vector Quantization

DGX agent

arXiv:2605.19972v1 Announce Type: cross Abstract: Vector quantization is a fundamental primitive for scalable machine learning systems, enabling memory-efficient storage, fast retrieval, and compresse

research

Block-Based Double Decoders

Block-Sphere Vector Quantization

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models

CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations

CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models

Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?

CLIC: Contextual Language-Informed Cardiac Pathology Classification

Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond

Component-Aware Structure-Preserving Style Transfer for Satellite Sim2Real 6D Pose Estimation

Conformal Prediction via Transported Beta Laws

Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging

ContextRAG: Extraction-Free Hierarchical Graph Construction for Retrieval-Augmented Generation

Contextualized Visual Personalization in Vision-Language Models

Convergence of Consensus-Based Particle Methods for Nonconvex Bi-Level Optimization

Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation

CosFly: Plan in the Matrix, Fly in the World

Counterfactual Likelihood Tests for Indirect Influence in Private Reasoning Channels

CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley Generation

CPC-VAR:Continual Personalized and Compositional Generation in Visual Autoregressive Models

Cross-Paradigm Knowledge Distillation: A Comprehensive Study of Bidirectional Transfer Between Random Forests and Deep Neural Networks for Big Data Applications

Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers

Cubit: Token Mixer with Kernel Ridge Regression

D-Convexity: A Unified Differentiable Convex Shape Prior via Quasi-Concavity for Data-driven Image Segmentation

D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting

Data-Free Client Contribution Estimation via Logit Maximization for Federated Learning

Deep Learning-Assisted Improved Differential Fault Attacks on Lightweight Stream Ciphers

Deep Neural Network for Musical Instrument Recognition using MFCCs

Deep Tech to Space: Space Data Centers and AI Revolution at the Edge

Delta Attention Residuals

Density-Ratio Losses for Post-Hoc Learning to Defer

Depth, Not Data: An Analysis of Hessian Spectral Bifurcation

DeRegiME: Deep Regime Mixtures for Probabilistic Forecasting under Distribution Shift

Difficulty-Controllable Cloze Question Distractor Generation

Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims

Distribution Matching Distillation without Fake Score Network

Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis

Do Better Volatility Forecasts Lead to Better Portfolios? Evidence from Graph Neural Networks

Does Your Wildfire Prediction Model Actually Work, or Just Score Well?

Dr.LLM: Dynamic Layer Routing in LLMs

ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation

Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers

Efficient Elicitation of Collective Disagreements

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention

Efficient Pre-Training with Token Superposition

EmbGen: Teaching with Reassembled Corpora

EMO-BOOST: Emotion-Augmented Audio-Visual Features for Improved Generalization in Deepfake Detection