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  1. vision-language-models-are-bows vision-language-models-are-bows Public

    Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

    Python 206 14

  2. debug-mistakes-cce debug-mistakes-cce Public

    Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022

    Python 71 7

  3. post-hoc-cbm post-hoc-cbm Public

    Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023

    Python 57 7

  4. microsoft/mechanistic-error-probe microsoft/mechanistic-error-probe Public

    A mechanistic approach for understanding and detecting factual errors of large language models.

    Jupyter Notebook 36 2

  5. beyond-confidence-atypicality beyond-confidence-atypicality Public

    Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"

    Python 10 3

  6. PathologyFoundation/plip PathologyFoundation/plip Public

    Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…

    Python 218 25