Agri-CPJ improves agricultural pest and disease diagnosis accuracy by 19-23 points and adds explainability through refined morphological captions and LLM judging without any model training.
Mirage: A benchmark for multimodal information-seeking and reasoning in agricultural expert-guided conversations
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AgroCoT is a new Chain-of-Thought VQA benchmark with 4759 samples to evaluate reasoning capabilities of vision-language models in agriculture.
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Agri-CPJ: A Training-Free Explainable Framework for Agricultural Pest Diagnosis Using Caption-Prompt-Judge and LLM-as-a-Judge
Agri-CPJ improves agricultural pest and disease diagnosis accuracy by 19-23 points and adds explainability through refined morphological captions and LLM judging without any model training.
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AgroCoT: A Chain-of-Thought Benchmark for Evaluating Reasoning in Vision-Language Models for Agriculture
AgroCoT is a new Chain-of-Thought VQA benchmark with 4759 samples to evaluate reasoning capabilities of vision-language models in agriculture.