We have 2 of 2 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Domain-specific fine-tuning can improve healthcare LLM performance when based on high-quality, clinician-curated data, but may also degrade performance when dataset quality is inadequate.
Evidence-Anchored RAG is proposed (EA-RAG), a three-stage retrieval method that replaces aggregate similarity with an evidence coverage objective through clinical parameter extraction, coverage auditing, and contrastive sub-queries, and confirms that counterfactual robustness in clinical AI remains an open challenge.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
