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UC Santa Barbara
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Forget expensive, from-scratch training: projector-based adaptation unlocks surprisingly accurate species recognition and habitat understanding from thermal drone imagery using off-the-shelf RGB-pretrained VLMs.
LLM agent skills, despite their promise, often fail in realistic settings, with performance plummeting to no-skill baselines when agents must retrieve skills from a large, uncurated collection.