Papers by Yann Choho
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models (2025.findings-emnlp)
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| Challenge: | a novel TCBM generator is proposed to build concept labels in unsupervised manner using a small language model. |
| Approach: | They propose a complete textual concept bottleneck model that builds concept labels in unsupervised manner using a small language model. |
| Outcome: | The proposed model achieves striking results against existing models in terms of concept basis completeness and concept detection accuracy. |