Explainable NLP in the Era of Large Language Models: A Unified Taxonomy, Evaluation Frameworks, and Decision Guidance

Explanation methods for natural language processing (NLP) come from two literatures that rarely meet: feature attribution and probing for task models, and the interpretability of large language models (LLMs), from chain-of-thought reasoning to sparse autoencoder features and circuit tracing. We p