The paper identifies three pathologies of probabilistic RAG in legal retrieval (mereological blindness, diachronic blindness, causal opacity) and derives four deterministic architectural commitments to address the hierarchical, temporal, and institutional structure of legal knowledge.
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation for Large Language Models
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NEURON raises AUC from 0.74-0.77 to 0.84-0.88 on MIMIC-IV heart-failure mortality prediction while lifting human-aligned explanation scores from 0.50 to 0.85 by grounding SHAP values in SNOMED CT and patient notes via RAG-LLM.
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Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal Domain
The paper identifies three pathologies of probabilistic RAG in legal retrieval (mereological blindness, diachronic blindness, causal opacity) and derives four deterministic architectural commitments to address the hierarchical, temporal, and institutional structure of legal knowledge.
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NEURON: A Neuro-symbolic System for Grounded Clinical Explainability
NEURON raises AUC from 0.74-0.77 to 0.84-0.88 on MIMIC-IV heart-failure mortality prediction while lifting human-aligned explanation scores from 0.50 to 0.85 by grounding SHAP values in SNOMED CT and patient notes via RAG-LLM.