V-REX: Efficient Specialist VLM Training for Veterinary X-Rays

The paper introduces V-REX, a specialist vision‑language model (VLM) tailored for veterinary X‑ray interpretation. By redesigning the VLM pipeline—including text tokenisation, pre‑training, grounding, and inference—the authors demonstrate that a carefully engineered model can outperform larger generalist foundation models while using far fewer parameters, data, and compute. V-REX is the first VLM capable of generating diagnostic reports for veterinary radiographs, achieving significant gains over open foundation models on this task.

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• fine-tuning
• multimodal