Explorar

Noticias de IA

22318 elementos — filtrados, clasificados y sin duplicados

arXiv cs.AI Research & Papers
Diffusion enabled Optimal Transport distances for graph matching
arXiv cs.AI Research & Papers
Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering
arXiv cs.AI Research & Papers
At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics
arXiv cs.AI Research & Papers
Specification Grounding Drives Test Effectiveness for LLM Code
arXiv cs.AI Research & Papers
ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning wit…
arXiv cs.AI Research & Papers
Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient…
arXiv cs.AI Research & Papers
Open-Ended Scenario Reasoning for Specialist Model Adaptation
arXiv cs.AI Research & Papers
SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixt…
arXiv cs.AI Research & Papers
Overview of the NLPCC 2026 Shared Task 1: Difficulty-Aware Multilingual and Multimodal Me…
arXiv cs.AI Research & Papers
WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated…
arXiv cs.AI Research & Papers
STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasti…
arXiv cs.AI Research & Papers
PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning
arXiv cs.AI Research & Papers
Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multil…
arXiv cs.AI Research & Papers
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization
arXiv cs.AI Research & Papers
NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts
arXiv cs.AI Research & Papers
TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache All…
arXiv cs.AI Research & Papers
MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
arXiv cs.AI Research & Papers
Can Reinforcement Learning Efficiently Discover Price Manipulation?
arXiv cs.AI Research & Papers
Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent …
arXiv cs.AI Research & Papers
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents
arXiv cs.AI Research & Papers
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loo…
arXiv cs.AI Research & Papers
Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning
arXiv cs.AI Research & Papers
SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis
arXiv cs.AI Research & Papers
The Blind Curator: How a Biased Judge Silently Disables Skill Retirement in Self-Evolving…
arXiv cs.AI Research & Papers
From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Sel…
arXiv cs.AI Research & Papers
Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure M…
arXiv cs.AI Research & Papers
Agentic Data Environments
arXiv cs.AI Research & Papers
MIRA-Math: A Benchmark for Minimal Information Requesting and Mathematical Reasoning
arXiv cs.AI Research & Papers
Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imagin…
arXiv cs.AI Research & Papers
Measuring Intelligence Beyond Human Scale