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Trusting RID data can lead to mid-air collisions, but a new planning framework reduces these risks by treating RID information as suspect.
Findings position LLMs as effective late-fusion mechanisms for multimodal learning analytics and demonstrate the viability of LLM-as-a-Judge for scalable, human-in-the-loop evaluation.