DepthCharge: A Domain-Agnostic Framework for Measuring Depth-Dependent Knowledge in Large Language Models

📰 ArXiv cs.AI

DepthCharge is a framework for measuring depth-dependent knowledge in large language models across arbitrary domains

advanced Published 26 Mar 2026

Action Steps

Implement adaptive probing to generate follow-up questions based on model responses
Use a domain-agnostic approach to measure knowledge depth across various domains
Evaluate the model's ability to sustain accurate responses under adaptive follow-up questioning

Who Needs to Know This

AI engineers and researchers can benefit from DepthCharge to evaluate and improve the knowledge depth of large language models, while product managers can use it to inform the development of more accurate language models

Key Insight

💡 DepthCharge provides a domain-agnostic framework for measuring depth-dependent knowledge in large language models