arXiv:2603.23821v2 Announce Type: replace-cross Abstract: Linguistic representation learning in deep neural language models (LMs) has been studied for…
Author: script
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention
arXiv:2603.28458v4 Announce Type: replace-cross Abstract: Token-level sparse attention mechanisms, exemplified by DeepSeek Sparse Attention (DSA), achieve…
Four Generations of Quantum Biomedical Sensors
arXiv:2603.29944v3 Announce Type: replace-cross Abstract: Quantum sensing technologies offer transformative potential for ultra-sensitive biomedical…
Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification
arXiv:2604.10969v2 Announce Type: replace-cross Abstract: To ensure energy efficiency and reliable operations, it is essential to monitor solar panels in…
Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classification
arXiv:2603.27325v2 Announce Type: replace-cross Abstract: Accurate wound classification (WC) and boundary segmentation are essential for guiding clinical…
Probing for Knowledge Attribution in Large Language Models
arXiv:2602.22787v3 Announce Type: replace-cross Abstract: Large language model (LLM) hallucinations, meaning fluent but factually incorrect generations,…
Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data
arXiv:2603.21235v2 Announce Type: replace-cross Abstract: Nonrigid registration is conventionally divided into point set registration, which aligns sparse…
Output Embedding Centering for Stable LLM Pretraining
arXiv:2601.02031v3 Announce Type: replace-cross Abstract: Pretraining of large language models is not only expensive but also prone to certain training…
OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
arXiv:2603.20278v2 Announce Type: replace-cross Abstract: Training deep research agents requires long-horizon trajectories that interleave search,…
Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference
This practical tutorial demonstrates how to build and accelerate machine learning workflows using NVIDIA cuML and RAPIDS. It covers GPU environment setup,…