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

arXiv · 2402.12525

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

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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 reliable AI framework on vision tasks for end-users.

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Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao. 2024-02-19. LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks. https://arxiv.org/abs/2402.12525

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