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Reliable assessment of LLM-generated tests should treat executability as a gate and combine coverage with mutation testing and structural quality indicators, and in practice, model selection should precede prompt tuning.
Symptom-guided multimodal inputs can dramatically enhance zero-shot disease classification in veterinary settings, outperforming traditional image-only approaches.