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Adaptive RAG uses signals such as confidence, relevance, support, and retrieval quality to decide when to search or correct evidence. In multi-step retrieval, however, these local signals must be combined into a persistent view of what the current evidence supports, what remains missing, and which action should follow....
C COUNTERMEM is introduced, a reinforcement-learning framework for constructing and using verified counterfactual memory across tasks, and it is shown that removing verification or persistent storage weakens the gains, while applying verified corrections to unsuitable decisions can reverse them.
This study aimed to evaluate the diagnostic accuracy of an artificial intelligence (AI)-assisted cone-beam computed tomography (CBCT) analysis system for predicting the spatial proximity of the inferior alveolar nerve (IAN) to impacted mandibular third molars (M3M), using expert radiologist assessment as the reference...
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