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Noticias de IA

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arXiv cs.AI Research & Papers
Active Electrosensing and Communication in MARL-trained Weakly Electric Fish Collectives
arXiv cs.AI Research & Papers
QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture
arXiv cs.AI Research & Papers
Beyond-Diagonal RIS Under Non-Idealities: Learning-Based Architecture Discovery and Optim…
arXiv cs.AI Research & Papers
The Information Shadow: Measuring Structural Limits on What Language Models Can Learn
arXiv cs.AI Research & Papers
Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing
arXiv cs.AI Research & Papers
Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language M…
arXiv cs.AI Research & Papers
Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoni…
arXiv cs.AI Research & Papers
Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection …
arXiv cs.AI Research & Papers
Physical Self-Supervised Learning: IMU Sensing without Manual Labels
arXiv cs.AI Research & Papers
Compressing What Matters: Neuron Importance Meets Data-Aware Low Rank Approximation for L…
arXiv cs.AI Research & Papers
BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a …
arXiv cs.AI Research & Papers
Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scen…
arXiv cs.AI Research & Papers
FSDBN: Foreground-Aware EEG--Visual Alignment via Dynamic Brain Networks
arXiv cs.AI Research & Papers
Addressing Limited Data in Auditory Attention Decoding with Diffusion Generative Models
arXiv cs.AI Research & Papers
SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions
arXiv cs.AI Research & Papers
Censoring-Aware In-Context Learning for Generalized Supplier Lead Time Estimation in Supp…
arXiv cs.AI Research & Papers
Dual-domain fused LSTM modeling for efficient time-dependent reliability analysis
arXiv cs.AI Research & Papers
Reliability Scales Inversely: Bigger Models Compound Mistakes Faster via a Hidden Auto-Re…
arXiv cs.AI Research & Papers
AI Tool Discovery at Scale: All You Need is DNS
arXiv cs.AI Research & Papers
An Analysis of Residual-Stream Geometry Across Transformer Depth
arXiv cs.AI Research & Papers
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization
arXiv cs.AI Research & Papers
On the Effectiveness of Pretraining for Graph Combinatorial Optimization
arXiv cs.AI Research & Papers
MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction
arXiv cs.AI Research & Papers
Competitive and Complementary Tools
arXiv cs.AI Research & Papers
BatchDAG: LLM-Planned Execution Graphs for Scalable Ad-Hoc Analysis Over Enterprise Data
arXiv cs.AI Research & Papers
Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agent…
arXiv cs.AI Security & Safety
Trusted Credentials, Untrusted Behavior: Benchmarking LLM-Agent Security in High-Performa…
arXiv cs.AI Research & Papers
Agentic AI-assisted coding offers a unique opportunity to instill epistemic grounding dur…
arXiv cs.AI Research & Papers
Distribution-First Population Simulation: Collapse, Calibration, and Recall in Non-WEIRD …
arXiv cs.AI Research & Papers
Approximating SPR Distance Between Phylogenetic Trees with Graph Neural Networks