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Noticias de IA

27413 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression
arXiv cs.AI Research & Papers
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling
arXiv cs.AI Research & Papers
Learning to Share: Selective Memory for Efficient Parallel Agentic Systems
arXiv cs.AI Research & Papers
SLUM-i: Semi-supervised Learning for Urban Mapping of Informal Settlements and Data Quali…
arXiv cs.AI Research & Papers
Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event M…
arXiv cs.AI Research & Papers
EffGen: Enabling Small Language Models as Capable Autonomous Agents
arXiv cs.AI Research & Papers
CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies
arXiv cs.AI Research & Papers
MR-GVNO: A Geometry-Aware Variational Physics-Informed Neural Operator for Mindlin-Reissn…
arXiv cs.AI Research & Papers
From Affect Prediction to Affect Forecasting: Evidence for Distinct Information Sources i…
arXiv cs.AI Research & Papers
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LV…
arXiv cs.AI Research & Papers
AgentFairBench: Do LLM Agents Discriminate When They Act?
arXiv cs.AI Research & Papers
Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning a…
arXiv cs.AI Research & Papers
A First-Principles Derivation of LLM Policy Optimization: From Expected Reward to GRPO an…
arXiv cs.AI Research & Papers
Sustainable Materials Discovery in the Era of Artificial Intelligence
arXiv cs.AI Research & Papers
EgoPhys: Learning Generalizable Physics Models of Deformable Objects from Egocentric Video
arXiv cs.AI Research & Papers
OpenClaw-Skill: Collective Skill Tree Search for Agentic Large Language Models
arXiv cs.AI Research & Papers
LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flo…
arXiv cs.AI Research & Papers
ACC: Compiling Agent Trajectories for Long-Context Training
arXiv cs.AI Research & Papers
Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning
arXiv cs.AI Research & Papers
LabOSBench: Benchmarking Computer Use Agents for Scientific Instrument Control
arXiv cs.AI Research & Papers
From Tokens to Regions: CUDA-Sensitive Instruction Tuning for GPU Kernel Generation
arXiv cs.AI Research & Papers
Data Augmentations for Data-Constrained Language Model Pretraining
arXiv cs.AI Research & Papers
Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems
arXiv cs.AI Research & Papers
UXBench: Measuring the Actionability of LLM-Generated UX Critiques
arXiv cs.AI Research & Papers
Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages
arXiv cs.AI Research & Papers
IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Co…
arXiv cs.AI Research & Papers
Demystifying Variance in Circuit Discovery of LLMs
arXiv cs.AI Research & Papers
GIST-CMTF: Goal-State Inference for Causal Minimal Tool Filtering in LLM Agents
arXiv cs.AI Research & Papers
Symbolic Informalization: Fluent, Productive, Multilingual
arXiv cs.AI Research & Papers
The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Mathematical Reason…