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The results demonstrate that AgentOptics provides a scalable and robust interface for natural-language-driven control and orchestration of heterogeneous optical devices and systems.
This study provides new mechanistic insights into how LLMs internalize OOD challenges, and designs Sparsity-Guided Curriculum In-Context Learning (SG-ICL), a strategy that explicitly uses representation sparsity to schedule few-shot demonstrations, leading to considerable performance enhancements.
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