negation comprehension

New Benchmark Reveals Remote Sensing AI Models Fail at Negation Comprehension

A new study introduces RS-Neg, the first benchmark to evaluate negation comprehension in remote sensing multimodal large language models. The evaluation reveals that advanced models exhibit hallucinations and performance degradation when handling negation. The proposed NeFo method, using about 5% unlabeled test samples, significantly improves negation understanding, with implications for critical applications like emergency response and logistics.