Español

Explorar

Noticias de IA

22318 elementos — filtrados, clasificados y sin duplicados

Todos Models & Releases Research & Papers Funding & M&A Policy & Regulation Product Launches Industry Moves Developer Tooling Opinion & Editorial Security & Safety Other
arXiv cs.AI Research & Papers
A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dyna…
arXiv cs.AI Research & Papers
Constructing Epistemic AI Literacy: Detecting Epistemic Aims and Processes in Student-AI …
arXiv cs.AI Research & Papers
RareDxR1: Autonomous Medical Reasoning for Rare Disease Diagnosis Beyond Human Annotation
arXiv cs.AI Research & Papers
Solution space path planning for supporting en-route air traffic control
arXiv cs.AI Research & Papers
AI, Trust, and Teaming: The Humans-as-Handlers Approach for Autonomous and Opaque AI Syst…
arXiv cs.AI Research & Papers
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
arXiv cs.AI Research & Papers
The MMM Data Model -- A Normative Specification for Knowledge Interoperability in a Decen…
arXiv cs.AI Research & Papers
Bounded Morality: Defining the Space of Moral Computation
arXiv cs.AI Research & Papers
Improving Sparse-View 3DGS Generalization via Flat Minima Optimization
arXiv cs.AI Research & Papers
Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Ne…
arXiv cs.AI Research & Papers
A Methodology for Investigating AI Patterns Prevalence in Software Repositories
arXiv cs.AI Research & Papers
Loss Smoothing for Stable Adaptation Under Distribution Shift
arXiv cs.AI Research & Papers
The State-Prediction Separation Hypothesis
arXiv cs.AI Research & Papers
Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments
arXiv cs.AI Research & Papers
Self-GC: Self-Governing Context for Long-Horizon LLM Agents
arXiv cs.AI Research & Papers
Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in To…
arXiv cs.AI Research & Papers
Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations
arXiv cs.AI Research & Papers
World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video
arXiv cs.AI Research & Papers
Learning Cardiac Motion Priors for Implicit Neural Representations
arXiv cs.AI Research & Papers
TRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative…
arXiv cs.AI Research & Papers
Behavior-Adaptive Conversational Agents: Toward a Fluid Personality Framework
arXiv cs.AI Research & Papers
Rule-VLN: Bridging Perception and Compliance via Semantic Reasoning and Geometric Rectifi…
arXiv cs.AI Research & Papers
HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning
arXiv cs.AI Research & Papers
Self-conditioned Flow Map Language Models via Fixed-point Flows
arXiv cs.AI Research & Papers
LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data
arXiv cs.AI Research & Papers
Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal…
arXiv cs.AI Research & Papers
LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives
arXiv cs.AI Research & Papers
DART-VLN: Test-Time Memory Decay and Anti-Loop Regularization for Discrete Vision-Languag…
arXiv cs.AI Research & Papers
Staleness-Learning Rate Scaling Laws for Asynchronous RLHF
arXiv cs.AI Research & Papers
FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement