Self-Questioning Language Models
arXiv:2508.03682v2 Announce Type: replace-cross Abstract: Can large language models improve without external data — by generating their own questions and…
MI9 — Agent Intelligence Protocol: Runtime Governance for Agentic AI Systems
arXiv:2508.03858v1 Announce Type: new Abstract: Agentic AI systems capable of reasoning, planning, and executing actions present fundamentally distinct governance challenges…
Supervised Dynamic Dimension Reduction with Deep Neural Network
arXiv:2508.03546v2 Announce Type: replace-cross Abstract: This paper studies the problem of dimension reduction, tailored to improving time series forecasting with…
Why are LLMs’ abilities emergent?
arXiv:2508.04401v1 Announce Type: cross Abstract: The remarkable success of Large Language Models (LLMs) in generative tasks has raised fundamental questions…
Deep Learning-based Scalable Image-to-3D Facade Parser for Generating Thermal 3D Building Models
arXiv:2508.04406v1 Announce Type: cross Abstract: Renovating existing buildings is essential for climate impact. Early-phase renovation planning requires simulations based on…
Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction
arXiv:2508.02724v1 Announce Type: cross Abstract: Urban air pollution is a major health crisis causing millions of premature deaths annually, underscoring…
From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
arXiv:2507.20968v2 Announce Type: replace-cross Abstract: Domain shift poses a fundamental challenge in time series analysis, where models trained on source…
GRILL: Gradient Signal Restoration in Ill-Conditioned Layers to Enhance Adversarial Attacks on Autoencoders
arXiv:2505.03646v2 Announce Type: replace-cross Abstract: Adversarial robustness of deep autoencoders (AEs) remains relatively unexplored, even though their non-invertible nature poses…
DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening
arXiv:2508.02741v1 Announce Type: cross Abstract: Large-scale tuberculosis (TB) screening is limited by the high cost and operational complexity of traditional…
From Legacy to Standard: LLM-Assisted Transformation of Cybersecurity Playbooks into CACAO Format
arXiv:2508.03342v1 Announce Type: cross Abstract: Existing cybersecurity playbooks are often written in heterogeneous, non-machine-readable formats, which limits their automation and…