arXiv:2608.11285v1 Announce Type: cross Abstract: Despite the practical relevance of sparse decision-based black-box threats, they have received limited…
Tag: AI
“If AI Existed from Day One”: Cheaper Code Didn’t Make Deciding What to Build Easier
For most of the history of software, the expensive bit was building it. Teams spent months turning ideas into working code, and that scarcity shaped…
Chemically Meaningful Textualization Enables Explainable Validation of Metal-Organic Frameworks by Large Language Models
arXiv:2608.11283v1 Announce Type: cross Abstract: Computation-ready metal-organic framework (MOF) databases are essential for high-throughput screening,…
Uncertainty-Aware and Explainable Ensemble Deep Learning Framework for Multi-Class Skin Lesion Classification
arXiv:2608.11280v1 Announce Type: cross Abstract: Skin cancer diagnosis from dermoscopic images remains challenging due to high intra-class variability,…
Agent Safety Should Be a Runtime Contract
arXiv:2608.11274v1 Announce Type: cross Abstract: The dominant paradigm treats AI safety as a property to be instilled during model training via RLHF,…
Federated Learning for Distributed CNC Tool Wear Prediction
arXiv:2608.11281v1 Announce Type: cross Abstract: Tool wear prediction is an important task in CNC machining, where accurate monitoring of tool condition…
Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification
arXiv:2608.11282v1 Announce Type: cross Abstract: Quantifying myocardial perfusion from cardiac magnetic resonance (CMR) can be achieved by fitting…
Constraining Output Space for SLM Narrow Automation Optimization
This article will kick off a series on narrow automation optimization for SLMs, and as the first entry will cover one of the more most useful techniques…
Every pooling rule has its world: matching probability combination rules to situations and stakes
arXiv:2608.11275v1 Announce Type: cross Abstract: Systems often need to combine two numerical assessments of the same yes/no question. The appropriate…
Methodologies for Improving the Quality of AI Tutoring in K-12 Education
arXiv:2608.11259v1 Announce Type: cross Abstract: Many AI tutors leverage large language models (LLMs) today. Given that LLMs are opaque black boxes,…