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Noticias de IA

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arXiv cs.AI Research & Papers
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable P…
arXiv cs.AI Research & Papers
Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases through Text-to-N…
arXiv cs.AI Research & Papers
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints
arXiv cs.AI Research & Papers
Optimal Transport for Machine Learners
arXiv cs.AI Research & Papers
RIDGECUT: Learning Graph Partitioning with Rings and Wedges
arXiv cs.AI Research & Papers
Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language…
arXiv cs.AI Research & Papers
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distrib…
arXiv cs.AI Research & Papers
Prototyping an AI-powered Tool for Energy Efficiency in New Zealand Homes
arXiv cs.AI Research & Papers
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Mo…
arXiv cs.AI Research & Papers
Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
arXiv cs.AI Research & Papers
Can Artificial Intelligence Accelerate Technological Progress? Researchers' Perspectives …
arXiv cs.AI Research & Papers
SPI: Query-Depth-Adaptive Indexing for Streaming RAG in Vector Databases
arXiv cs.AI Research & Papers
CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions
arXiv cs.AI Research & Papers
AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
arXiv cs.AI Research & Papers
Do You Really Need a GPU to Guard Your LLM? CPU-Class Classifiers and Multi-Stage Pipelin…
arXiv cs.AI Research & Papers
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
arXiv cs.AI Research & Papers
RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
arXiv cs.AI Research & Papers
FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
arXiv cs.AI Research & Papers
Sustainable Materials Discovery in the Era of Artificial Intelligence
arXiv cs.AI Research & Papers
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LV…
arXiv cs.AI Research & Papers
EffGen: Enabling Small Language Models as Capable Autonomous Agents
arXiv cs.AI Research & Papers
SLUM-i: Semi-supervised Learning for Urban Mapping of Informal Settlements and Data Quali…
arXiv cs.AI Research & Papers
Learning to Share: Selective Memory for Efficient Parallel Agentic Systems
arXiv cs.AI Security & Safety
MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Atta…
arXiv cs.AI Research & Papers
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling
arXiv cs.AI Research & Papers
Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression
arXiv cs.AI Research & Papers
Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Rein…
arXiv cs.AI Research & Papers
WavSLM: Single-Stream Speech Language Modeling via WavLM Distillation
arXiv cs.AI Research & Papers
MAND: Modality-Aware Novelty Detection for Open-World Egocentric Activity Recognition
arXiv cs.AI Research & Papers
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing