LangXAI: Integrating Large Vision Models for Generating Textual
  Explanations to Enhance Explainability in Visual Perception Tasks
Truong Thanh Hung Nguyen Tobias Clement Phuc Truong Loc Nguyen Nils Kemmerzell Van Binh Truong Vo Thanh Khang Nguyen Mohamed Abdelaal Hung Cao
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 reliable AI
framework on vision tasks for end-users.