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Noticias de IA

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arXiv cs.AI Research & Papers
The Differentiable Auditory Loop (DAL): An ML Framework for Hyper-Personalized Hearing Ai…
arXiv cs.AI Research & Papers
R-APS: Compositional Reasoning and In-Context Meta-Learning for Constrained Design via Re…
arXiv cs.AI Research & Papers
Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting
arXiv cs.AI Research & Papers
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection
arXiv cs.AI Research & Papers
Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Del…
arXiv cs.AI Research & Papers
BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relati…
arXiv cs.AI Research & Papers
AIP: A Graph Representation for Learning and Governing Agent Skills
arXiv cs.AI Research & Papers
The Invisible Lottery: How Subtle Cues Steer Algorithm Choice in LLM Code Generation
arXiv cs.AI Security & Safety
RUBAS: Rubric-Based Reinforcement Learning for Agent Safety
arXiv cs.AI Research & Papers
Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectori…
arXiv cs.AI Research & Papers
Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Makin…
arXiv cs.AI Research & Papers
Channel-Oriented Design for EEG-to-Music Reconstruction
arXiv cs.AI Security & Safety
Unpredictable Safety: Domain-Dependent Compliance and the Transparency Gap in Open-Weight…
arXiv cs.AI Research & Papers
Do Transformers Need Three Projections? Systematic Study of QKV Variants
arXiv cs.AI Research & Papers
CodegenBench: Can LLMs Write Efficient Code Across Architectures?
arXiv cs.AI Research & Papers
The Variance Brain Foundation Models Forgot: Third-Order Statistics Predict Cognition Whe…
arXiv cs.AI Research & Papers
Counterfactual Explanations for Deep Two-Sample Testing
arXiv cs.AI Security & Safety
MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Mod…
arXiv cs.AI Research & Papers
Early Detection of Alzheimer's Disease Using Explainable Machine Learning on Clinical Bio…
arXiv cs.AI Research & Papers
SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification
arXiv cs.AI Research & Papers
How do machines learn? Evaluating the AIcon2abs method
arXiv cs.AI Research & Papers
A Normative Intermediate Representation for ASP-Based Compliance Reasoning
arXiv cs.AI Research & Papers
Learning Admissible Heuristics via Cost Partitioning
arXiv cs.AI Research & Papers
SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification
arXiv cs.AI Research & Papers
Neetyabhas: A Framework for Uncertainty-Aware Public Policy Optimization in Rational Agen…
arXiv cs.AI Research & Papers
MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map Generation
arXiv cs.AI Research & Papers
Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision M…
arXiv cs.AI Research & Papers
Beyond Prompt-Based Planning: MCP-Native Graph Planning-based Biomedical Agent System
arXiv cs.AI Research & Papers
Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers
arXiv cs.AI Research & Papers
Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval