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concept-probing

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Sappymukherjee214 / Memorization-vs-Generalization-in-VLMs

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This research project investigates whether Vision-Language Models (VLMs) like CLIP/BLIP truly "understand" compositions or simply memorize patterns. It features a sophisticated diagnostic suite—including CKA, Concept Probing, and Negation Consistency—to quantify generalization gaps and visualize model attention via Grad-CAM.

nlp computer-vision deep-learning grad-cam pytorch representation-learning clip memorization vlm blip interpretability robustness generalization cka ai-research compositionality vision-language-models concept-probing
  • Updated Mar 31, 2026
  • Python

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