#Uncertainty Quantification

3 articles with this tag

Holonic Digital Twins Network for Physical AI
AI Research

Holonic Digital Twins Network for Physical AI

A new holonic digital twins network framework aims to enable real-time physical AI inference by allowing agents to actively reason about their environment and coordinate through causal Markov blankets.

about 1 month ago
First-Token Confidence as AI Hallucination Baseline
AI Research

First-Token Confidence as AI Hallucination Baseline

First-token confidence (phi_first) emerges as a highly efficient and effective method for AI hallucination detection, outperforming complex multi-sample approaches.

4 months ago
Bayesian Uncertainty for Foundation Models
AI Research

Bayesian Uncertainty for Foundation Models

Variational Mixture-of-Experts Routing (VMoER) offers a scalable Bayesian approach to uncertainty quantification in foundation models, achieving significant improvements with minimal computational overhead.

6 months ago
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