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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Explainable Reinforcement Learning for assisting Air Traffic Controllers
arXiv cs.AI Research & Papers
The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents
arXiv cs.AI Research & Papers
Household Movement Detection in Mixed-Format Occupancy Data Using LLM-Based Entity Resolu…
arXiv cs.AI Research & Papers
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
arXiv cs.AI Research & Papers
Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators
arXiv cs.AI Research & Papers
TRACE-ROUTER: Task-Consistent and Adaptive Online Routing for Agentic AI
arXiv cs.AI Research & Papers
SceneActBench: Can Agents Act on the 3D Scenes They See?
arXiv cs.AI Research & Papers
Sparse by Command: Task-Conditional Compute Skipping for Multi-Task Inference Accelerators
arXiv cs.AI Research & Papers
Visual Saliency Steering Distillation for Multimodal Chain-of-Thought Reasoning
arXiv cs.AI Research & Papers
Agentic Root Cause Analysis through Evidence-Grounded Reasoning
arXiv cs.AI Research & Papers
Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI
arXiv cs.AI Research & Papers
From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sam…
arXiv cs.AI Research & Papers
Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
arXiv cs.AI Research & Papers
AI-Integrated Scientific Inquiry: A Practice-Centered Vision for Science Education
arXiv cs.AI Research & Papers
VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical…
arXiv cs.AI Research & Papers
DriftXpress: Faster Drifting Models via Projected RKHS Fields
arXiv cs.AI Research & Papers
Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of Use…
arXiv cs.AI Research & Papers
A Statistical Multi-Objective Framework for Assessing Sensitivity of Radiomic AI Models t…
arXiv cs.AI Research & Papers
Unified Static-Dynamic Pruning for Efficient LLM Inference
arXiv cs.AI Research & Papers
Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning
arXiv cs.AI Research & Papers
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learni…
arXiv cs.AI Research & Papers
Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis
arXiv cs.AI Research & Papers
Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation
arXiv cs.AI Research & Papers
Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents
arXiv cs.AI Research & Papers
Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning
arXiv cs.AI Research & Papers
GPU-Accelerated ANNS: Quantized for Speed, Built for Change
arXiv cs.AI Research & Papers
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Compu…
arXiv cs.AI Research & Papers
InteractComp: Evaluating Search Agents With Ambiguous Queries
arXiv cs.AI Research & Papers
A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Hete…
arXiv cs.AI Research & Papers
From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem