PlantInquiryVQA shows multimodal LLMs describe plant symptoms but struggle with clinical reasoning and diagnosis, with structured Chain of Inquiry improving correctness and reducing hallucinations.
Let M denote the set of misdiagnosed samples, ˆdi the predicted disease, d∗ i the reference disease, and f(·) the empirical corpus-level frequency function
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Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry
PlantInquiryVQA shows multimodal LLMs describe plant symptoms but struggle with clinical reasoning and diagnosis, with structured Chain of Inquiry improving correctness and reducing hallucinations.