arXiv:2608.11281v1 Announce Type: cross Abstract: Tool wear prediction is an important task in CNC machining, where accurate monitoring of tool condition…
Category: AI
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,…
Lost in Compaction: Evaluating Side-Constraint Loss under Context Compaction
arXiv:2608.11242v1 Announce Type: cross Abstract: When the context window is under pressure, LLM systems compact prior context to continue ongoing tasks.…
Variable Selection in the Context of AI Fairness
arXiv:2608.11251v1 Announce Type: cross Abstract: Fairness in AI systems has become more important with recent regulatory demands, such as the EU AI Act.…
Diffuse to Compress: Leveraging Diffusion LMs for Lossless Compression
arXiv:2608.11249v1 Announce Type: cross Abstract: We study the problem of lossless text compression, motivated by the rapid growth in the collection and…
Reinforcement Learning based DBMS Buffer Pool Auto-Tuning for Optimal Memory Utilization
arXiv:2608.11239v1 Announce Type: cross Abstract: Administering Database Management Systems (DBMS) instances requires Database Administrators (DBA) to…
Evaluating LLM Generated Detection Rules in Cybersecurity
arXiv:2509.16749v1 Announce Type: cross Abstract: LLMs are increasingly pervasive in the security environment, with limited measures of their…