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cs.CV2025
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
Nhi Pham, Artur Jesslen, Bernt Schiele +2
With the rise of deep neural networks, especially in safety-critical applications, robustness and interpretability are crucial to ensure their trustworthiness. Recent advances in 3…
cs.CV2024
H-POPE: Hierarchical Polling-based Probing Evaluation of Hallucinations in Large Vision-Language Models
Nhi Pham, Michael Schott
By leveraging both texts and images, large vision language models (LVLMs) have shown significant progress in various multi-modal tasks. Nevertheless, these models often suffer from…