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Noticias de IA

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arXiv cs.AI Research & Papers
DynaWM: Dynamics-Aware Distillation with World Model and Momentum Targets for Smooth Loco…
arXiv cs.AI Research & Papers
Decentralised AI Training and Inference with BlockTrain
arXiv cs.AI Research & Papers
Integrated Sensing and Communications for Real-time Avatar Control in XR over 5G
arXiv cs.AI Research & Papers
Rule2Text: A Framework for Generating and Evaluating Natural Language Explanations of Kno…
arXiv cs.AI Research & Papers
Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter…
arXiv cs.AI Research & Papers
Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback
arXiv cs.AI Research & Papers
ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Model…
arXiv cs.AI Research & Papers
ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning
arXiv cs.AI Research & Papers
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflec…
arXiv cs.AI Research & Papers
Quant Convergence: Bridging Classical Value Investing and Modern Factor Models for System…
arXiv cs.AI Research & Papers
Reinforcement Learning for Computer-Use Agents with Autonomous Evaluation
arXiv cs.AI Research & Papers
Ensemble Feature Selection and Harris Hawks Optimization for Explainable Mental Health Ri…
arXiv cs.AI Research & Papers
Can Scale Save Us From Plasticity Loss in Large Language Models?
arXiv cs.AI Research & Papers
MGI: Member vs Generated Inference
arXiv cs.AI Research & Papers
CompressKV: Semantic-Retrieval-Guided KV-Cache Compression for Resource-Efficient Long-Co…
arXiv cs.AI Research & Papers
FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
arXiv cs.AI Research & Papers
An Introduction to Causal Reinforcement Learning
arXiv cs.AI Research & Papers
Random coloured digraphs defined by a Markov logic network
arXiv cs.AI Research & Papers
Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control
arXiv cs.AI Research & Papers
Critique of Agent Model
arXiv cs.AI Research & Papers
Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs
arXiv cs.AI Security & Safety
RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems
arXiv cs.AI Research & Papers
CrossPool: Efficient Multi-LLM Serving for Cold MoE Models through KV-Cache and Weight Di…
arXiv cs.AI Security & Safety
One Year Later...The Harms Persist, But So Do We!
arXiv cs.AI Research & Papers
Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching
arXiv cs.AI Research & Papers
Promise and challenges of heart chamber segmentation from non-contrast CT scans using con…
arXiv cs.AI Research & Papers
Listening makes Vision Clear for VLMs
arXiv cs.AI Research & Papers
Neuromorphic Speech Enhancement with Dual-Branch Spiking Neural Networks
arXiv cs.AI Research & Papers
Engineering Reliable Autonomous Systems: Challenges and Solutions
arXiv cs.AI Research & Papers
VeriPilot: An LLM-Powered Verilog Debugging Framework