2 papers
cs.CV2026
Hierarchical, Interpretable, Label-Free Concept Bottleneck Model
Haodong Xie, Yujun Cai, Rahul Singh Maharjan +3
Concept Bottleneck Models (CBMs) introduce interpretability to black-box deep learning models by predicting labels through human-understandable concepts. However, unlike humans, wh…
cs.CL2024
From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning
Haodong Xie, Rahul Singh Maharjan, Federico Tavella +1
Understanding and manipulating concrete and abstract concepts is fundamental to human intelligence. Yet, they remain challenging for artificial agents. This paper introduces a mult…