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SAMPLe significantly boosts the generalization of prompt learning in VLMs, outperforming traditional optimizers and mitigating overfitting issues.
Current MLLMs struggle with wildfire monitoring, showing notable failures in critical tasks like presence detection under smoke and coverage estimation.
