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Noticias de IA

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arXiv cs.AI Research & Papers
WISE-HAR: A Generalizable Ensemble Deep Learning Framework for WiFi-Based Human Activity …
arXiv cs.AI Research & Papers
Reproducibility is the New Copyleft: Defining AGI-oriented Reproducible Builds
arXiv cs.AI Research & Papers
How Quantization Changes Interpretable Features: A Sparse Autoencoder Analysis of Languag…
arXiv cs.AI Research & Papers
Are we really tilting? The mechanics of reward guidance in flow and diffusion models
arXiv cs.AI Research & Papers
Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Context…
arXiv cs.AI Research & Papers
Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism
arXiv cs.AI Research & Papers
MemVerse: Multimodal Memory for Lifelong Learning Agents
arXiv cs.AI Research & Papers
FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collabo…
arXiv cs.AI Research & Papers
VeRO: A Harness for Agents to Optimize Agents
arXiv cs.AI Research & Papers
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization
arXiv cs.AI Research & Papers
FRED: A Multi-Modal Autonomous Driving Dataset for Flooded Road Environments
arXiv cs.AI Research & Papers
Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung C…
arXiv cs.AI Research & Papers
An Exploration of Collision-based Enemy Morphology Generation
arXiv cs.AI Security & Safety
Inference Cost Attacks for Retrieval-Augmented Large Language Models
arXiv cs.AI Research & Papers
Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers
arXiv cs.AI Research & Papers
DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Co…
arXiv cs.AI Research & Papers
Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social S…
arXiv cs.AI Research & Papers
SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale
arXiv cs.AI Research & Papers
Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models
arXiv cs.AI Research & Papers
Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Featu…
arXiv cs.AI Research & Papers
Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks
arXiv cs.AI Research & Papers
TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment
arXiv cs.AI Research & Papers
GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance
arXiv cs.AI Research & Papers
Visual Graph Scaffolds for Structural Reasoning in Large Language Models
arXiv cs.AI Security & Safety
Do Explanations Increase the Risk of Decision Logic Leakage? Explanation-Guided Stealing …
arXiv cs.AI Research & Papers
EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs
arXiv cs.AI Research & Papers
AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse
arXiv cs.AI Research & Papers
Brief Announcement: Generative Markov Model for Distributed Computing Systems
arXiv cs.AI Research & Papers
DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
arXiv cs.AI Research & Papers
The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplac…