Pro-MA: Progressively Margin-based Attribution in Pre-trained Vision-Language Models
Sisi You,
Jiachang Li
Abstract:Knowledge attribution is focused on analyzing the internal knowledge architecture of neural networks, aiming to accurately identify the factual knowledge stored within a model. Existing knowledge attribution methods concentrate on Pre-trained Language Models (PLMs), with limited exploration in Pre-trained Vision-Language Models (VLMs). However, the knowledge attribution methods of PLMs cannot be directly utilized on VLMs due to different decision-making processes and unstable integral gradients. Specifically, … Show more
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