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Noticias de IA

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arXiv cs.AI Research & Papers
GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection o…
arXiv cs.AI Research & Papers
Noise Scheduling as Information-Guided Allocation in Diffusion Training
arXiv cs.AI Research & Papers
Probing for Knowledge Attribution in Large Language Models
arXiv cs.AI Research & Papers
From Causal Discovery to Dynamic Causal Inference in Neural Time Series
arXiv cs.AI Research & Papers
COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
arXiv cs.AI Research & Papers
Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion L…
arXiv cs.AI Research & Papers
DiagramBank: A Quality-Audited Dataset of Scientific Schematic Diagrams with Multi-Level …
arXiv cs.AI Research & Papers
Graph Memory Transformer (GMT)
arXiv cs.AI Research & Papers
C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diag…
arXiv cs.AI Research & Papers
Escaping Mode Collapse in LLM Generation via Geometric Regulation
arXiv cs.AI Research & Papers
From Prediction to Intervention: The Evolution of AI in Biomedicine
arXiv cs.AI Research & Papers
HEAL: Resilient and Self-* Hub-based Learning
arXiv cs.AI Research & Papers
Debate Helps Weak Judges Reward Stronger Models
arXiv cs.AI Research & Papers
Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Sys…
arXiv cs.AI Research & Papers
The Future of Facts: Tracing the Factual Generation-Verification Gap
arXiv cs.AI Research & Papers
Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for A…
arXiv cs.AI Research & Papers
Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure
arXiv cs.AI Research & Papers
Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
arXiv cs.AI Research & Papers
UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind
arXiv cs.AI Research & Papers
Reading or Guessing? Visual Grounding Failures of Vision-Language Models for OCR in Ancie…
arXiv cs.AI Research & Papers
High-Fidelity Industrial Crash Dynamics Prediction via Geometry-Aware Operator Learning w…
arXiv cs.AI Research & Papers
ChildEval: When large language models meet children's personalities
arXiv cs.AI Research & Papers
ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions
arXiv cs.AI Research & Papers
DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervis…
arXiv cs.AI Research & Papers
SPAR: Support-Preserving Action Rectification
arXiv cs.AI Research & Papers
Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors
arXiv cs.AI Research & Papers
CubePart: An Open-Vocabulary Part-Controllable 3D Generator
arXiv cs.AI Research & Papers
Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance a…
arXiv cs.AI Research & Papers
Learning Compositional Latent Structure with Vector Networks
arXiv cs.AI Research & Papers
StoryLens: Preference-Aligned Story Rewriting via Context-Aware Narrative Enrichment