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2. CLIP-dissect CLIP-dissect Public

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3. CB-LLMs CB-LLMs Public

   [ICLR 25] A novel framework for building intrinsically interpretable LLMs with human-understandable concepts to ensure safety, reliability, transparency, and trustworthiness.

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4. VLG-CBM VLG-CBM Public

   [NeurIPS 24] A new training and evaluation framework for learning interpretable deep vision models and benchmarking different interpretable concept-bottleneck-models (CBMs)

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5. posthoc-generative-cbm posthoc-generative-cbm Public

   [CVPR 2025] Concept Bottleneck Autoencoder (CB-AE) -- efficiently transform any pretrained (black-box) image generative model into an interpretable generative concept bottleneck model (CBM) with mi…

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6. Linear-Explanations Linear-Explanations Public

   [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks

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