LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks

arXiv:2402.12525v1 Announce Type: new
Abstract: LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite XAI advancements, an understanding gap persists for end-users with limited domain knowledge in artificial intelligence and computer vision. LangXAI addresses this by furnishing text-based explanations for classification, object detection, and semantic segmentation model outputs to end-users. Preliminary results demonstrate LangXAI's enhanced plausibility, with high BERTScore across tasks, fostering a more transparent and …

abstract advanced artificial artificial intelligence arxiv cs.ai cs.cv domain domain knowledge explainability explainable artificial intelligence framework gap generate intelligence knowledge large vision models perception recognition tasks textual type understanding vision vision models visual xai