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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

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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
arXiv cs.AI Research & Papers
Towards Developing a Multimodal Chat Assistant for University Stakeholders: RAG-based App…
arXiv cs.AI Research & Papers
Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven S…
arXiv cs.AI Research & Papers
When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models
arXiv cs.AI Research & Papers
PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection
arXiv cs.AI Research & Papers
Stateful Token Reduction for Long-Video Hybrid VLMs
arXiv cs.AI Research & Papers
Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?
arXiv cs.AI Research & Papers
Language-Critique Imitation Learning from Suboptimal Demonstrations
arXiv cs.AI Research & Papers
Unexplainability of Artificial Intelligence Judgments and Functional Implementation in Ka…