AI RESEARCH
Fine-tuning a vision-language model for fracture-surface morphology recognition
arXiv CS.CV
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ArXi:2605.07145v1 Announce Type: cross Vision-language models (VLMs) have shown strong potential for scientific image understanding, but general-purpose models often lack the domain-specific visual knowledge required for reliable materials characterization. In this work, we fine-tuned an open-source VLM (Qwen3-VL-32B-Instruct) for fracture-surface image analysis using a curated dataset of 13,168 open-source, literature-mined fracture-surface images.