Tag
Introduces HDSR and HDSR-PL, methods that use hallucination detectors to guide iterative self-refinement and preference learning, achieving up to 48% reduction in hallucinations for clinical summarization using Llama and Gemma models on MIMIC-IV-Note.
This paper presents The Daily Dose (TDD), an LLM-driven system for automated clinical summarization and clinical-trial identification integrated into routine radiation oncology practice, with early evaluation showing positive usability and time savings.