arXiv Computer Science

OVT-MLCS: An Online Visual Tool for MLCS Mining from Long or Big Sequences https://arxiv.org/abs/2604.13037 #cs.DB #cs.AI

Independent subcontexts and blocks of concept lattices. Definitions and relationships to decompose fuzzy contexts https://arxiv.org/abs/2604.13039 #cs.DB

Decomposition of contexts into independent subcontexts based on thresholds https://arxiv.org/abs/2604.13040 #cs.DB

TableNet A Large-Scale Table Dataset with LLM-Powered Autonomous https://arxiv.org/abs/2604.13041 #cs.DB #cs.AI

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation https://arxiv.org/abs/2604.13045 #cs.DB

A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection https://arxiv.org/abs/2604.13046 #cs.DB #cs.CL #cs.IR #cs.LG #cs.PL

From Natural Language to PromQL: A Catalog-Driven Framework with Dynamic Temporal Resolution for Cloud-Native Observability https://arxiv.org/abs/2604.13048 #cs.DB #cs.AI #cs.SE

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization https://arxiv.org/abs/2604.11810 #cs.DB #cs.AI

A Pythonic Functional Approach for Semantic Data Harmonisation in the ILIAD Project https://arxiv.org/abs/2604.13042 #cs.DB #cs.AI #cs.SE

Green by Design? Investigating the Energy and Carbon Footprint of Chia Network https://arxiv.org/abs/2604.13044 #cs.CY

Integration of Deep Reinforcement Learning and Agent-based Simulation to Explore Strategies Counteracting Information Disorder https://arxiv.org/abs/2604.13047 #cs.SI #cs.AI #cs.CY

M$^\star$: Every Task Deserves Its Own Memory Harness https://arxiv.org/abs/2604.11811 #cs.PL #cs.AI #cs.CL #cs.LG

Refined Differentially Private Linear Regression via Extension of a Free Lunch Result https://arxiv.org/abs/2604.11820 #math.IT #cs.IT #cs.LG

The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap https://arxiv.org/abs/2604.11828 #math.OC #cs.AI #cs.CY

Learning on the Temporal Tangent Bundle for Physics-Informed Neural Networks https://arxiv.org/abs/2604.11829 #math.NA #cs.NA

Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks https://arxiv.org/abs/2604.11833 #cs.LG

Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning https://arxiv.org/abs/2604.11835 #cs.LG #cs.AI

Design and Deployment of a Course-Aware AI Tutor in an Introductory Programming Course https://arxiv.org/abs/2604.11836 #cs.CY #cs.SE

A Layer-wise Analysis of Supervised Fine-Tuning https://arxiv.org/abs/2604.11838 #cs.LG #cs.AI

Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents https://arxiv.org/abs/2604.11839 #cs.CR #cs.AI