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Noticias de IA

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arXiv cs.AI Research & Papers
When Successful Knowledge Graph Edits Displace Correct Answers: Rank-Level Locality beyon…
arXiv cs.AI Research & Papers
Toward Robust Personalized Alignment for LLMs: Mitigating Persona Drift in Multi-Turn Dia…
arXiv cs.AI Research & Papers
Is Gaussian Splatting Becoming Neural Again? A Taxonomy and Controlled Study of Learned P…
arXiv cs.AI Research & Papers
OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation
arXiv cs.AI Research & Papers
VRL-Bench: Benchmarking agents on computer control tasks under finite trial budgets
arXiv cs.AI Research & Papers
AIM: A Privacy-Aware Interoperable Memory Framework for Multi-Agent Multi-User LLM Systems
arXiv cs.AI Research & Papers
Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis
arXiv cs.AI Research & Papers
Affective Agent: On-Device Personalized Intervention Reasoning for Wearable Systems
arXiv cs.AI Research & Papers
LoRA-RC: Reservoir Computing with Low-Rank Adaptation
arXiv cs.AI Research & Papers
Predicting Collision Cross Sections with GRACE: Geometric Residual Adduct Conditioning vi…
arXiv cs.AI Research & Papers
Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamilt…
arXiv cs.AI Research & Papers
Mined from Scientific Literature: Process Schemas for Atomic Layer Deposition and Etching…
arXiv cs.AI Research & Papers
EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning
arXiv cs.AI Research & Papers
TripPattern: A Pattern-based Text Watermarking Method for Large Language Models
arXiv cs.AI Research & Papers
Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction
arXiv cs.AI Research & Papers
Hierarchical Belief Modeling for Zero-Shot Opponent Adaptation in Partially Observable Mu…
arXiv cs.AI Research & Papers
Confidence-Gated Transductive Test Generation for Code Reranking
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
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
MPT: Missing Prototype Tracking via Barycentric Reconstruction in Vehicular Federated Lea…
arXiv cs.AI Research & Papers
Beyond Vector Similarity: Hierarchical Context-Aware Graph RAG vs Standard RAG in Enterpr…
arXiv cs.AI Research & Papers
Beyond Generation and Accuracy: Diagnosing and Enhancing Visual Chain-of-Thought for Geom…
arXiv cs.AI Research & Papers
Reproducing and Evaluating the Generalizability of Subliminal Learning in Open-Weight Mod…
arXiv cs.AI Research & Papers
K-Bench: A Benchmark for LLM Unlearning in Agentic Deployments
arXiv cs.AI Research & Papers
Soft Symbol Grounding for Prototypical Concepts
arXiv cs.AI Research & Papers
PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corre…
arXiv cs.AI Research & Papers
DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense P…
arXiv cs.AI Research & Papers
Class-wise Contribution Estimation via Logit Maximization for Federated Learning