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Noticias de IA

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arXiv cs.AI Research & Papers
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
arXiv cs.AI Research & Papers
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
arXiv cs.AI Research & Papers
ETCHR: Editing To Clarify and Harness Reasoning
arXiv cs.AI Research & Papers
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transform…
arXiv cs.AI Research & Papers
CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces
arXiv cs.AI Research & Papers
PhotoFlow: Agentic 3D Virtual Photography Missions
arXiv cs.AI Research & Papers
OnePred: Next-Query Prediction via Recursive Intent Memory in Multi-Turn Conversations
arXiv cs.AI Research & Papers
HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retriev…
arXiv cs.AI Research & Papers
Understanding Goal Generalisation in Sequential Reinforcement Learning
arXiv cs.AI Research & Papers
PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide …
arXiv cs.AI Research & Papers
Goal-Conditioned Agents that Learn Everything All at Once
arXiv cs.AI Research & Papers
RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Pro…
arXiv cs.AI Research & Papers
Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
arXiv cs.AI Research & Papers
CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detecti…
arXiv cs.AI Research & Papers
AI Assurance: A Comprehensive Testing Strategy for Enterprise AI Systems
arXiv cs.AI Research & Papers
One-Forcing: Towards Stable One-Step Autoregressive Video Generation
arXiv cs.AI Research & Papers
Online Hand Gesture Recognition Using 3D Convolutional Neural Networks
arXiv cs.AI Research & Papers
XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy…
arXiv cs.AI Research & Papers
VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection
arXiv cs.AI Research & Papers
Sparse Compositional Flow Matching by geometric assembly from motion primitives
arXiv cs.AI Research & Papers
EvalVerse: Pipeline-Aware and Expert-Calibrated Benchmarking for Professional Cinematic V…
arXiv cs.AI Research & Papers
ChainFlow-VLA: Causal Flow Planning with Vision-Language Models
arXiv cs.AI Research & Papers
Lipschitz Optimization for Formal Verification of Homographies
arXiv cs.AI Security & Safety
Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from D…
arXiv cs.AI Research & Papers
Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smar…
arXiv cs.AI Research & Papers
Autonomous Frontier-Based Exploration with VLM Guidance
arXiv cs.AI Research & Papers
CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly Detection
arXiv cs.AI Research & Papers
Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
arXiv cs.AI Research & Papers
Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empi…
arXiv cs.AI Research & Papers
Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Pla…