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Noticias de IA

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arXiv cs.AI Research & Papers
BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems
arXiv cs.AI Research & Papers
NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Tempora…
arXiv cs.AI Research & Papers
RMA: an Agentic System for Research-Level Mathematical Problems
arXiv cs.AI Research & Papers
Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions
arXiv cs.AI Research & Papers
EVE-Agent: Evidence-Verifiable Self-Evolving Agents
arXiv cs.AI Research & Papers
Foundation Protocol: A Coordination Layer for Agentic Society
arXiv cs.AI Research & Papers
EDGE-OPD: Internalizing Privileged Context with Evidence Guided On-Policy Distillation
arXiv cs.AI Research & Papers
CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem
arXiv cs.AI Research & Papers
An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Usin…
arXiv cs.AI Research & Papers
Evaluating Large Language Models in a Complex Hidden Role Game
arXiv cs.AI Research & Papers
PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Nego…
arXiv cs.AI Research & Papers
MedExpMem: Adapting Experience Memory for Differential Diagnosis
arXiv cs.AI Research & Papers
How Far Will They Go? Red-Teaming Online Influence with Large Language Models
arXiv cs.AI Research & Papers
Test-Time Training Undermines Safety Guardrails
arXiv cs.AI Research & Papers
Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
arXiv cs.AI Research & Papers
MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models
arXiv cs.AI Research & Papers
Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
arXiv cs.AI Research & Papers
The TIME Machine: On The Power of Motion for Efficient Perception
arXiv cs.AI Research & Papers
Model Collapse as Cultural Evolution
arXiv cs.AI Research & Papers
Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
arXiv cs.AI Research & Papers
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
arXiv cs.AI Research & Papers
MUSEKG: A Knowledge Graph Over Museum Collections
arXiv cs.AI Research & Papers
Defining AI Fatigue in Academic Contexts: Dimensions, Indicators, and a Stage-Based Model…
arXiv cs.AI Research & Papers
Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking
arXiv cs.AI Research & Papers
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robus…
arXiv cs.AI Research & Papers
Generative AI and the Reorganization of Labor Demand
arXiv cs.AI Research & Papers
DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling
arXiv cs.AI Research & Papers
Adaptive Mass-Segmented KV Compression for Long-Context Reasoning
arXiv cs.AI Research & Papers
FastKernels: Benchmarking GPU Kernel Generation in Production
arXiv cs.AI Research & Papers
CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test