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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models
arXiv cs.AI Research & Papers
What is the Difference Between Me and You? Benchmarking the Quality Gap Between Human-Wri…
arXiv cs.AI Research & Papers
Is Gaussian Splatting Becoming Neural Again? A Taxonomy and Controlled Study of Learned P…
arXiv cs.AI Research & Papers
Automated Detection and Structuring of Social Tipping Point Evidence in Climate related D…
arXiv cs.AI Research & Papers
TileNet: Tile-Based CNN-SVM Architecture for Autonomous Unmanned Aerial Systems Inspectio…
arXiv cs.AI Research & Papers
OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation
arXiv cs.AI Research & Papers
Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamilt…
arXiv cs.AI Research & Papers
Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis
arXiv cs.AI Research & Papers
Reproducing and Evaluating the Generalizability of Subliminal Learning in Open-Weight Mod…
arXiv cs.AI Research & Papers
Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation…
arXiv cs.AI Research & Papers
AIM: A Privacy-Aware Interoperable Memory Framework for Multi-Agent Multi-User LLM Systems
arXiv cs.AI Research & Papers
TripPattern: A Pattern-based Text Watermarking Method for Large Language Models
arXiv cs.AI Research & Papers
EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning
arXiv cs.AI Research & Papers
Confidence-Gated Transductive Test Generation for Code Reranking
arXiv cs.AI Research & Papers
QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization
arXiv cs.AI Research & Papers
Retrieval-Augmented Generation for Scientific Code Understanding
arXiv cs.AI Research & Papers
LifeFuse-Mem: Lifecycle-Aware State Fusion Against Temporary Overwriting for Long-Term Me…
arXiv cs.AI Research & Papers
Information Specialization and Constrained Synthesis in Multi-Agent LLM Forecasting: A Pr…
arXiv cs.AI Research & Papers
Affective Agent: On-Device Personalized Intervention Reasoning for Wearable Systems
arXiv cs.AI Research & Papers
K-Bench: A Benchmark for LLM Unlearning in Agentic Deployments
arXiv cs.AI Research & Papers
MPT: Missing Prototype Tracking via Barycentric Reconstruction in Vehicular Federated Lea…
arXiv cs.AI Research & Papers
MedRoundsQA: A Persona and Difficulty Aware Evaluation for Multi-Turn Medical Consultatio…
arXiv cs.AI Research & Papers
Diffusion Models and Concept Formation
arXiv cs.AI Research & Papers
Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction
arXiv cs.AI Research & Papers
LoRA-RC: Reservoir Computing with Low-Rank Adaptation
arXiv cs.AI Research & Papers
Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors
arXiv cs.AI Research & Papers
Optimizing Geoengineering Interventions Using Differentiable Climate Models
arXiv cs.AI Research & Papers
Repair Before Reinforce: Context-Augmented Knowledge Graph Reasoning for Multi-Hop Questi…
arXiv cs.AI Research & Papers
Hierarchical Belief Modeling for Zero-Shot Opponent Adaptation in Partially Observable Mu…
arXiv cs.AI Research & Papers
I Am AdMan: A Pipeline for Automatic Generation of Personalized Advertising Imagery