SOURCE-LINKED INTELLIGENCE
Surgical Alignment in Knowledge Graph Training for Clinical Diagnosis with Large Language Models
Biomedical knowledge graphs (KGs) offer structured medical knowledge that can ground large language model (LLM) reasoning in clinical diagnosis application, yet how KG signal should be integrated into LLMs remains an open question. We present a systematic study spanning five KG task formulations, three training paradigms, two KGs, and three base LLMs. At the task level, all paradigms improve over the non-finetuned baseline, but methods with comparable in-domain accuracy show substantially different knowledge transfer behavior. We introduce Gradient Intervention Density (GID) and Gradient Disto
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T03:57:52.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.