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Noticias de IA

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arXiv cs.AI Research & Papers
Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Awa…
arXiv cs.AI Research & Papers
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
arXiv cs.AI Research & Papers
Threshold-Based Exclusive Batching for LLM Inference
arXiv cs.AI Research & Papers
AgentxGCore: Agentic AI for Next-Generation Mobile Core Network
arXiv cs.AI Research & Papers
Avoiding Structural Failure Modes in Tabular Fair SSL: Online Primal-Dual Allocation unde…
arXiv cs.AI Research & Papers
The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space
arXiv cs.AI Security & Safety
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
arXiv cs.AI Research & Papers
Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
arXiv cs.AI Research & Papers
Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensi…
arXiv cs.AI Research & Papers
Genie 4D: Semantic-Prior-Guided 4D Dynamic Scene Reconstruction
arXiv cs.AI Research & Papers
Incentives, Equilibria, and the Limits of Healthcare AI: A Game-Theoretic Perspective
arXiv cs.AI Research & Papers
Automated Conjecture Resolution with Formal Verification
arXiv cs.AI Research & Papers
Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optim…
arXiv cs.AI Research & Papers
Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for …
arXiv cs.AI Research & Papers
ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
arXiv cs.AI Research & Papers
Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited…
arXiv cs.AI Research & Papers
Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
arXiv cs.AI Research & Papers
You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diff…
arXiv cs.AI Research & Papers
SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering …
arXiv cs.AI Research & Papers
DenseMLLM: Standard Multimodal LLMs for Dense Prediction
arXiv cs.AI Research & Papers
Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framew…
arXiv cs.AI Research & Papers
When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spa…
arXiv cs.AI Research & Papers
Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache E…
arXiv cs.AI Research & Papers
Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Pr…
arXiv cs.AI Research & Papers
Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Mat…
arXiv cs.AI Research & Papers
Global Geometry Is Not Enough for Vision Representations
arXiv cs.AI Research & Papers
Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL …
arXiv cs.AI Research & Papers
Physics-Encoded Inverse Modeling for Arctic Snow Depth Prediction
arXiv cs.AI Research & Papers
Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics
arXiv cs.AI Research & Papers
Paradoxical noise preference in RNNs