Core Concepts
This paper introduces Editable Concept Bottleneck Models (ECBMs), a novel approach to efficiently edit pre-trained Concept Bottleneck Models (CBMs) without expensive retraining, addressing challenges related to data privacy, mislabeling, and concept updates.
Hu, L., Ren, C., Hu, Z., Lin, H., Wang, C., Xiong, H., Zhang, J., & Wang, D. (2024). Editable Concept Bottleneck Models. arXiv preprint arXiv:2405.15476v2.
This paper aims to address the limitations of traditional Concept Bottleneck Models (CBMs) in handling data removal or concept updates, which are crucial for adapting to evolving data and knowledge. The authors propose Editable Concept Bottleneck Models (ECBMs) to enable efficient editing of pre-trained CBMs without requiring complete retraining.