Wu, X., Zhao, H., Zhu, Y., Shi, Y., Yang, F., Liu, T., … & Liu, N. (2024). Usable XAI: 10 strategies towards exploiting explainability in
the LLM era. arXiv preprint arXiv:2403.08946.
This paper introduces ten strategies to enhance the usability of Explainable AI (XAI) in the context of Large Language Models (LLMs). It explores how XAI can be applied to LLMs to improve their transparency and utility. The research highlights the bidirectional benefits where XAI aids in understanding LLMs, and LLMs, in turn, can enhance XAI methodologies. The authors provide detailed techniques and discuss the challenges associated with each strategy, supported by case studies that demonstrate practical applications.