2 papers
cs.CV2026
CBX-Bench: A Human-Aligned MLLM Council for Benchmarking Concept Bottleneck Model Explanations
Yusuf Meric Karadag, Gulay Oklan, Seref Baris Cagliyan +2
Concept Bottleneck Models (CBMs) are designed to make visual classification interpretable by expressing predictions through human-understandable concepts. Although interpretability…
cs.CV2026
Caption Bottleneck Models
Seref Baris Cagliyan, Umut Ozdemir, Merve Tapli +1
Concept Bottleneck Models (CBMs) provide interpretability by routing predictions through a layer of human-understandable concepts. However, defining an optimal concept set for a sp…