LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

arXiv:2401.12576v2 Announce Type: replace
Abstract: Interpretability tools that offer explanations in the form of a dialogue have demonstrated their efficacy in enhancing users' understanding (Slack et al., 2023; Shen et al., 2023), as one-off explanations may fall short in providing sufficient information to the user. Current solutions for dialogue-based explanations, however, often require external tools and modules and are not easily transferable to tasks they were not designed for. With LLMCheckup, we present an easily accessible tool that allows users …

abstract arxiv conversational cs.ai cs.cl cs.lg current dialogue form information interpretability language language models large language large language models slack solutions tools type understanding via