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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
VisAdj: Learning Adjacency Matrices from Node-Link Images
arXiv cs.AI Research & Papers
LLM-based Agents for Forecasting and Prediction: Methods, Training, Evaluation, and Appli…
arXiv cs.AI Research & Papers
Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings
arXiv cs.AI Research & Papers
KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real…
arXiv cs.AI Research & Papers
Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior …
arXiv cs.AI Research & Papers
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Tra…
arXiv cs.AI Research & Papers
Mamba-based Selective State Space Modeling Improves the Accuracy-Complexity Tradeoff of S…
arXiv cs.AI Research & Papers
Meta-Ctrl: Guaranteed Plan Generation by Decoupling Syntactic and Semantic Constraints
arXiv cs.AI Research & Papers
Mode-Dependent Rectification for Stable PPO Training
arXiv cs.AI Research & Papers
Agentic AI for Safety-critical Multi-drone Systems: Challenges and Opportunities
arXiv cs.AI Research & Papers
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Mo…
arXiv cs.AI Research & Papers
Unlearning Is Not Just Erasing: Temporal Decoupling via Generation Inequality
arXiv cs.AI Research & Papers
Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration
arXiv cs.AI Research & Papers
Do Not Copy/Paste: Soft Barriers for Copying in AI-Assisted Programming
arXiv cs.AI Research & Papers
Beyond Benchmarks: LLM Evaluation with an Anthropomorphic and Lifecycle-oriented Roadmap
arXiv cs.AI Research & Papers
What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When…
arXiv cs.AI Research & Papers
Self-Supervised Graph Representation Learning for In-The-Wild Wearable and Smartphone bas…
arXiv cs.AI Research & Papers
Diagnosing Capability Preservation and Task Sensitivity in Memory Augmented Document Clas…
arXiv cs.AI Research & Papers
The Measurement Revolution? Credible Measurement and Inference in the Age of AI
arXiv cs.AI Research & Papers
DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Pertur…
arXiv cs.AI Research & Papers
Read Less, Solve More: Token-Efficient Sparse Reading for AI Agents
arXiv cs.AI Research & Papers
Molecular LLM Agents: From Architectural Design to Scientific Autonomy
arXiv cs.AI Research & Papers
The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybr…
arXiv cs.AI Research & Papers
Search Broadly, Seek Evidence on Both Sides, Decide Narrowly: Evidence-Admissible GraphRA…
arXiv cs.AI Research & Papers
First-Principles AI finds crystallization of fractional quantum Hall liquids
arXiv cs.AI Research & Papers
VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting
arXiv cs.AI Research & Papers
Beyond Two Bytes per Letter: Tokenization Overhead in Cyrillic AI Systems
arXiv cs.AI Research & Papers
Improving O-RADS Risk Stratification from Ultrasound Reports: A Comparative Evaluation of…
arXiv cs.AI Research & Papers
Deep Learning-Driven Inverse Design of Doherty Power Amplifiers Using Pixelated Combiners…
arXiv cs.AI Research & Papers
SPAR-Hate: An Auditor-Guided Multi-Agent Framework for Bilingual Hate Speech Parsing