← all papers · overview

XAI Meets Llms: A Survey Of The Relation Between Explainable AI And Large Language Models

Abstract

In this survey, we address the key challenges in Large Language Models (LLM) research, focusing on the importance of interpretability. Driven by increasing interest from AI and business sectors, we highlight the need for transparency in LLMs. We examine the dual paths in current LLM research and eXplainable Artificial Intelligence (XAI): enhancing performance through XAI and the emerging focus on

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).