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Noticias de IA

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arXiv cs.AI Research & Papers
ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Per…
arXiv cs.AI Research & Papers
SIEVE: Selective Integrity Verification and Escalation for Defending LLM Agents against I…
arXiv cs.AI Research & Papers
LADY: Linear Attention for Autonomous Driving Efficiency without Transformers
arXiv cs.AI Research & Papers
Near-Optimal Reinforcement Learning for Constrained Recurrence Objectives
arXiv cs.AI Research & Papers
Knowledge Graph Augmented Large Language Models for Disease Prediction
arXiv cs.AI Research & Papers
Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge
arXiv cs.AI Research & Papers
AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collecti…
arXiv cs.AI Research & Papers
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient …
arXiv cs.AI Research & Papers
Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
arXiv cs.AI Research & Papers
Representing Higher-Order Networks: A Survey of Graph-Based Frameworks
arXiv cs.AI Research & Papers
Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
arXiv cs.AI Research & Papers
ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction
arXiv cs.AI Research & Papers
Cochise: A Reference Harness for Autonomous Penetration Testing
arXiv cs.AI Research & Papers
Topology Enhanced MARL for Multi-Agent Cooperative Decision-Making of CAVs
arXiv cs.AI Research & Papers
Request-Level Energy Attribution for Batched LLM Serving
arXiv cs.AI Research & Papers
Learning What to Remember and What to Internalize in LLM Self-Evolution via Adaptive Memo…
arXiv cs.AI Research & Papers
Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A R…
arXiv cs.AI Research & Papers
Analytic Planning under Uncertainty with Moment Closure
arXiv cs.AI Research & Papers
RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language Models
arXiv cs.AI Research & Papers
A Contractualist Argumentation Framework for Moral Decision-Making
arXiv cs.AI Research & Papers
SWE-Touch: Benchmarking Coding Agents When Users Touch the Code
arXiv cs.AI Research & Papers
Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O…
arXiv cs.AI Research & Papers
MechGeo: Autoformalizing and Proving Euclidean Geometry in Lean 4
arXiv cs.AI Research & Papers
UEmbed: Unified Sparse and Dense Multimodal Embeddings
arXiv cs.AI Research & Papers
CoWAM: Coordination Contracts for Selective Policy Intervention with WAMs
arXiv cs.AI Research & Papers
DyFrDet: Towards Accurate Small Object Detection via Dynamic Frequency Suppression with L…
arXiv cs.AI Research & Papers
Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives
arXiv cs.AI Research & Papers
From fragmented data to actionable design: Physics-calibrated learning for plastic upcycl…
arXiv cs.AI Research & Papers
GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Exper…
arXiv cs.AI Research & Papers
Can Foundation Models Hear What Made That Sound? A Tiered Benchmark of Audio-Language Mod…