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Noticias de IA

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arXiv cs.AI Research & Papers
CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face …
arXiv cs.AI Research & Papers
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimiza…
arXiv cs.AI Research & Papers
Uncertainty Estimation using Variance-Gated Distributions
arXiv cs.AI Research & Papers
ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommen…
arXiv cs.AI Research & Papers
AttnRegDeepLab: A Two-Stage Decoupled Framework for Interpretable Embryo Fragmentation Gr…
arXiv cs.AI Research & Papers
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Mo…
arXiv cs.AI Research & Papers
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization…
arXiv cs.AI Research & Papers
VAMPS: Visual-Assisted Mathematical Problem Solving Benchmark
arXiv cs.AI Research & Papers
The Digital Apprentice: A Framework for Human-Directed Agentic AI Development
arXiv cs.AI Research & Papers
The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?
arXiv cs.AI Research & Papers
Scaling Self-Evolving Agents via Parametric Memory
arXiv cs.AI Research & Papers
Parthenon Law: A Self-Evolving Legal-Agent Framework
arXiv cs.AI Research & Papers
MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models
arXiv cs.AI Research & Papers
FALSIFYBENCH: Evaluating Inductive Reasoning in LLMs with Rule Discovery Games
arXiv cs.AI Research & Papers
Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on…
arXiv cs.AI Research & Papers
AICompanionBench: Benchmarking LLMs-as-Judges for AI Companion Safety
arXiv cs.AI Research & Papers
AI from concrete to abstract: demystifying artificial intelligence to the general public
arXiv cs.AI Research & Papers
Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition
arXiv cs.AI Research & Papers
Position: Deployed Reinforcement Learning should be Continual
arXiv cs.AI Research & Papers
Bayes-Sufficient Representations in Supervised Learning
arXiv cs.AI Research & Papers
Unlocking Feature Learning in Gated Delta Networks at Scale
arXiv cs.AI Research & Papers
LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection
arXiv cs.AI Research & Papers
LLM Compression with Jointly Optimizing Architectural and Quantization choices
arXiv cs.AI Research & Papers
Building The Ph(ysical)AI Layer Of Machine Intelligence
arXiv cs.AI Research & Papers
ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models
arXiv cs.AI Research & Papers
Recover-LoRA for Aggressive Quantization: Reclaiming Accuracy in 2-Bit Language Models vi…
arXiv cs.AI Research & Papers
StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets
arXiv cs.AI Research & Papers
A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks
arXiv cs.AI Research & Papers
MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models
arXiv cs.AI Research & Papers
Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-…