LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
<|reference_start|>LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks: 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.<|reference_end|>
@article{nguyen2024langxai:,
    title={LangXAI: Integrating Large Vision Models for Generating Textual
  Explanations to Enhance Explainability in Visual Perception Tasks},
    author={Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils
  Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung
  Cao},
    journal={arXiv preprint arXiv:2402.12525},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.12525},
    primaryClass={cs.CV cs.AI}
}