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AtomiMed introduces a hierarchical atomic fact-checking framework for evaluating medical report generation, decomposing clinical narratives into atomic facts and using agentic cross-verification to improve accuracy assessment beyond traditional metrics.
AtomMem introduces a long-term memory system for LLM agents that uses atomic facts as efficient memory units, organizing them into hierarchical event structures and temporal user profiles, achieving state-of-the-art on the LoCoMo benchmark.