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Noticias de IA

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arXiv cs.AI Research & Papers
Sensorimotor World Models: Perception for Action via Inverse Dynamics
arXiv cs.AI Research & Papers
Evaluation of EEG Foundation Models for Event-Based Burst-Suppression Detection in ICU
arXiv cs.AI Research & Papers
IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian …
arXiv cs.AI Research & Papers
The Hidden Evolution of Disguised Visual Context inside the VLM
arXiv cs.AI Research & Papers
See-and-Reach: Precise Vision-Language Navigation for UAVs within the Field of View
arXiv cs.AI Research & Papers
A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobi…
arXiv cs.AI Research & Papers
When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents
arXiv cs.AI Research & Papers
StreamKL: Fast and Memory-Efficient KL Divergence for Boosting Attention Distillation
arXiv cs.AI Research & Papers
Tri-Info: Generalizable, Interpretable Failure Prediction for VLA Models via Information …
arXiv cs.AI Research & Papers
The Algorithmic-Human Manager: AI, Apps, and Workers in the Indian Gig Economy
arXiv cs.AI Research & Papers
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA
arXiv cs.AI Research & Papers
Speeding up the annotation process in semantic segmentation industrial applications
arXiv cs.AI Research & Papers
Co-policy: Responsive Human-Robot Co-Creation for Musical Performances
arXiv cs.AI Research & Papers
SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Spac…
arXiv cs.AI Research & Papers
FFinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM…
arXiv cs.AI Research & Papers
PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projec…
arXiv cs.AI Research & Papers
When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning
arXiv cs.AI Research & Papers
CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images
arXiv cs.AI Research & Papers
Uncertainty-Aware Reward Modeling for Stable RLHF
arXiv cs.AI Research & Papers
ParaScale: Scale-Calibrated Camera-Motion Transfer via a Gauge-Invariant Parallax Number
arXiv cs.AI Research & Papers
Policy-aware Vector Search: A Vision for Fine Grained Access Control in Vector Databases
arXiv cs.AI Research & Papers
Improving End-to-End Speech Recognition for Dysarthric Speech through In-Domain Data Augm…
arXiv cs.AI Research & Papers
Agentic Electronic Design Automation: A Handoff Perspective
arXiv cs.AI Research & Papers
Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models
arXiv cs.AI Research & Papers
Towards Engineering Scaling Laws with Pretraining Data Composition
arXiv cs.AI Research & Papers
Data Standards for Humanoid Robotics: The Missing Infrastructure for Physical AI
arXiv cs.AI Research & Papers
SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling
arXiv cs.AI Research & Papers
Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language…
arXiv cs.AI Research & Papers
QueryGaussian: Scalable and Training-Free Open-Vocabulary 3D Instance Retrieval
arXiv cs.AI Research & Papers
VOiLA: Vectorized Online Planning with Learned Diffusion Model for POMDP Agents