Deep Dive into LLM Explainability: Training and Generalization of Self-Explanations
Published:Dec 8, 2025 08:28
•1 min read
•ArXiv
Analysis
This research from ArXiv likely investigates how to make large language models' internal reasoning processes more transparent and reliable. Understanding the training and generalization dynamics of self-explanations is crucial for building trustworthy AI.
Key Takeaways
- •Focuses on improving the explainability of LLMs.
- •Examines how self-explanations are trained within LLMs.
- •Investigates the generalization capabilities of these explanations.
Reference
“The article focuses on the training and generalization aspects of faithful self-explanations.”