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Noticias de IA

21010 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Bridging Silicon and the Hippocampus: Algebro-Deterministic Memory "VaCoAl" as a Substrat…
arXiv cs.AI Research & Papers
IVF-TQ: Calibration-Free Streaming Vector Search via a Codebook-Free Residual Layer
arXiv cs.AI Research & Papers
Benchmarking Commercial ASR Systems on Code-Switching Speech: Arabic, Persian, and German
arXiv cs.AI Research & Papers
Decomposing MXFP4 quantization error for LLM reinforcement learning: reducible bias, reco…
arXiv cs.AI Research & Papers
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
arXiv cs.AI Research & Papers
Variance Reduction for Expectations with Diffusion Teachers
arXiv cs.AI Research & Papers
OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning
arXiv cs.AI Research & Papers
Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks
arXiv cs.AI Research & Papers
As X, Do Y: How Persona and Task Combine in Instruction-Tuned LLMs
arXiv cs.AI Research & Papers
Defining AI Fatigue in Academic Contexts: Dimensions, Indicators, and a Stage-Based Model…
arXiv cs.AI Research & Papers
A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Colle…
arXiv cs.AI Research & Papers
Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
arXiv cs.AI Research & Papers
Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection
arXiv cs.AI Research & Papers
Graph Alignment Topology as an Inductive Bias for Grounding Detection
arXiv cs.AI Research & Papers
Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
arXiv cs.AI Research & Papers
Tensor Cache: Eviction-conditioned Associative Memory for Transformers
arXiv cs.AI Research & Papers
Reflex: Reinforcement Learning with Reflection Symmetry Exploitation in State-Based Conti…
arXiv cs.AI Research & Papers
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasti…
arXiv cs.AI Research & Papers
Curriculum reinforcement learning with measurable task representation learning
arXiv cs.AI Research & Papers
Reinforcement Learning for Microcanonical Graph Ensemble with Assortativity Constraints
arXiv cs.AI Research & Papers
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
arXiv cs.AI Research & Papers
Multi-Gate Residuals
arXiv cs.AI Research & Papers
PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogrammin…
arXiv cs.AI Research & Papers
Score-Based One-step MeanFlow Policy Optimization
arXiv cs.AI Research & Papers
Enhancing Deep Neural Network Reliability with Refinement and Calibration
arXiv cs.AI Research & Papers
SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion
arXiv cs.AI Research & Papers
Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Flo…
arXiv cs.AI Research & Papers
CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
arXiv cs.AI Research & Papers
Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
arXiv cs.AI Research & Papers
Anytime Training with Schedule-Free Spectral Optimization