Explainable and interpretable multimodal large language models: A comprehensive survey
ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods
Recent advancements in Vision Transformers (ViT) have demonstrated exceptional results
in various visual recognition tasks, owing to their ability to capture long-range dependencies …
in various visual recognition tasks, owing to their ability to capture long-range dependencies …
Visual Affordance Recognition: A Study on Explainability and Interpretability for Human Robot Interaction
Deep learning-based affordance research is motivated by the need to achieve higher
degrees of automation and accuracy. On the contrary, the concept of affordance originated …
degrees of automation and accuracy. On the contrary, the concept of affordance originated …
A Unified Framework for Interpretable Transformers Using PDEs and Information Theory
Y Zhang - arxiv preprint arxiv:2408.09523, 2024 - arxiv.org
This paper presents a novel unified theoretical framework for understanding Transformer
architectures by integrating Partial Differential Equations (PDEs), Neural Information Flow …
architectures by integrating Partial Differential Equations (PDEs), Neural Information Flow …