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Noticias de IA

22318 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learn…
arXiv cs.AI Research & Papers
An Isotropic Approach to Efficient Uncertainty Quantification with Gradient Norms
arXiv cs.AI Research & Papers
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
arXiv cs.AI Research & Papers
Adaptive Contracts for Cost-Effective AI Delegation
arXiv cs.AI Research & Papers
Efficient Federated Conformal Prediction with Group-Conditional Guarantee
arXiv cs.AI Research & Papers
$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
arXiv cs.AI Research & Papers
LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection
arXiv cs.AI Research & Papers
Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional…
arXiv cs.AI Research & Papers
Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered …
arXiv cs.AI Research & Papers
Locality-Aware Continual Unlearning for Diffusion Models
arXiv cs.AI Research & Papers
Spanning Tree Autoregressive Visual Generation
arXiv cs.AI Research & Papers
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-L…
arXiv cs.AI Research & Papers
Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Asse…
arXiv cs.AI Research & Papers
SEPS: Semantic-enhanced Patch Slimming Framework for fine-grained cross-modal alignment
arXiv cs.AI Research & Papers
UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement
arXiv cs.AI Research & Papers
Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
arXiv cs.AI Research & Papers
Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation
arXiv cs.AI Research & Papers
Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Effici…
arXiv cs.AI Research & Papers
MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning
arXiv cs.AI Research & Papers
Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Mode…
arXiv cs.AI Research & Papers
Introduction to Transformers: an NLP Perspective
arXiv cs.AI Research & Papers
Stabilising Generative Models of Attitude Change
arXiv cs.AI Research & Papers
Activation Steering for Aligned Open-ended Generation without Sacrificing Coherence
arXiv cs.AI Research & Papers
Working Paper: Towards a Category-theoretic Comparative Framework for Artificial General …
arXiv cs.AI Research & Papers
Conformal Policy Control
arXiv cs.AI Research & Papers
Learning-based Multi-agent Race Strategies in Formula 1
arXiv cs.AI Research & Papers
OmniGAIA: Towards Native Omni-Modal AI Agents
arXiv cs.AI Research & Papers
PreScience: A Dataset and Benchmark for Scientific Forecasting
arXiv cs.AI Research & Papers
BRIDGE: Predicting Human Task Completion Time From Model Performance
arXiv cs.AI Research & Papers
Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity