From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Per…
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Noticias de IA
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Enhancing deep learning models for time series classification via knowledge distillation
What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study
Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning
A Multi-Analyst LLM Pipeline for Auditable Rule Discovery Across 68 Public Physiological …
Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Sy…
Ad Headline Generation using Self-Critical Masked Language Model
Gradient-Based Speech-to-Text Alignment for Any ASR Model: From CTC to Speech LLMs
A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong
ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for la…
LoCA: Spatially-Aware Low-Rank Convolutional Adaptation of Vision Foundation Models
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Anno…
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recove…
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud…
Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset
Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of …
Hybrid Least Squares/Gradient Descent Methods for MIONets
Physics-guided spatiotemporal neural models for fuel density prediction
Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic For…
Intrinsic Green's Learning: Supervised Learning on Manifolds via Inverse PDE
DiPhon: Diffusion on Graphons for Scalable Graph Generation
Riemannian Geometry for Pre-trained Language Model Embeddings
Bayesian Optimization of Genetic Algorithm Hyperparameters in a Multi-Fidelity Framework …
Memory Scarcity, Open Models, and the Restructuring of the AI Industry, 2026-2030 -- A qu…
When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reaso…
QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron
DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression
AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation