H-POPE: Hierarchical Polling-based Probing Evaluation of Hallucinations in Large Vision-Language Models

• URL: http://arxiv.org/abs/2411.04077v1
• Date: Wed, 06 Nov 2024 17:55:37 GMT
• Title: H-POPE: Hierarchical Polling-based Probing Evaluation of Hallucinations in Large Vision-Language Models
• Authors: Nhi Pham, Michael Schott,
• Abstract summary: We propose H-POPE, a coarse-to-fine-grained benchmark that assesses hallucinations in object existence and attributes. Our evaluation shows that models are prone to hallucinations on object existence, and even more so on fine-grained attributes.
• Score: 0.0
• License:
• Abstract: 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 hallucinations, e.g., they exhibit inconsistencies between the visual input and the textual output. To address this, we propose H-POPE, a coarse-to-fine-grained benchmark that systematically assesses hallucination in object existence and attributes. Our evaluation shows that models are prone to hallucinations on object existence, and even more so on fine-grained attributes. We further investigate whether these models rely on visual input to formulate the output texts.

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