MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts
英文标题：MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts
arXiv:2607.18673v1 Announce Type: new Abstract: Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objects with missing parts present a unique challenge for VLMs, stemming from both real-world knowledge bias and the scarcity of such images in training dat
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arXiv:2607.18673v1 Announce Type: new Abstract: Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objects with missing parts present a unique challenge for VLMs, stemming from both real-world knowledge bias and the scarcity of such images in training dat
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