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Layer-Specific Adaptation with Prototype-Anchored Adapter-Space Transport (LSA-PAST) is proposed, a parameter-efficient method tailored to composition-IL that achieves state-of-the-art accuracy-forgetting trade-off performance for composition-IL.
This work investigates structured learning architectures that preserve hardware, orbital, and RF information, including a Subsystem-Fusion MLP and a hierarchical multimodal Transformer that models both cross-subsystem interactions and temporal evolution and demonstrates the value of structured multimodal modeling and r...
Large Language Models (LLMs) offer significant potential for clinical decision support, but their deployment is constrained by hallucination, privacy risks, and limited interpretability. Retrieval-Augmented Generation (RAG) improves reliability by grounding outputs in patient-specific electronic health records (EHRs);...
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