MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts
MissingBench-Verified is presented, a benchmark designed to evaluate a specific and practically relevant scenario: when vision-language models fail to recognize that an essential component of an object has been removed, indicating that this failure mode cannot be addressed through current prompting or post-hoc correction techniques.