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DARE is a dialectical agentic reasoning framework for structured knowledge fact checking that uses an iterative retrieve–reason–reflect process, achieving 88.12% accuracy with an 8B model and matching GPT-4o performance.
TRIAGE is a framework that trains LLMs to generate dialectical reasoning for continuous risk scoring from irregularly sampled medical time series, achieving improved calibration and interpretability.