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Research questionHow reliably can language and vision-language models answer veterinary clinical questions with retrieval or supervised adaptation?Veterinary questions combine domain knowledge with case-specific clinical reasoning, and reliable answers may need to interpret both text and images. Retrieval or supervised adaptation can change how models ground and explain their answers.
AI
Evaluation & Benchmarks
Health
Multimodal Models
Natural Language Processing
Reasoning
Retrieval-Augmented Generation
Latest papersRecent research connected to this question, newest first.PetQA: Benchmarking Veterinary Knowledge and Clinical ReasoningPetQA provides Korean long-form questions about dogs and cats with expert-veterinarian answers, covering text-only and multimodal cases. It evaluates language and vision-language models under zero-shot, retrieval-augmented, and supervised fine-tuning settings; evidence is limited to benchmark-based factuality and helpfulness judgments and its translated versions.research paper · Sep 4, 2026
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