RAD3D-Prefix is a diagnostic-prior conditioning framework for 3D CT report generation that integrates image embeddings with multi-label classification logits, showing that freezing larger LLMs and training only projection layers outperforms fine-tuning across scales.
Large language model with region-guided referring and grounding for ct report generation.arXiv preprint arXiv:2411.15539, 2024
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Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors
RAD3D-Prefix is a diagnostic-prior conditioning framework for 3D CT report generation that integrates image embeddings with multi-label classification logits, showing that freezing larger LLMs and training only projection layers outperforms fine-tuning across scales.