arXiv: TokenScope: Token-Level Explainability for LLMs in Code Tasks

Core summary

One sentence to understand this update

Research introduces TokenScope, a method for token-level explainability and interpretability in Large Language Models (LLMs) specifically for code-oriented tasks.

Impact & opportunity

What this could mean

Developers working on LLM code generation and understanding can use TokenScope to gain deeper insights into model behavior, improving performance and debugging efficiency.