A universal LLM-to-drone interface is implemented via the Model Context Protocol (MCP) and Mavlink, demonstrated with real UAV flight control and simulated flights using live map data.
Llm-daas: Llm-driven drone- as-a-service operations from text user requests
2 Pith papers cite this work. Polarity classification is still indexing.
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Fine-tuning RoBERTa-base on SQuAD1.1 gave the best ROUGE-L/BLEU/BERTScore among twelve models, a result consistent with known capabilities.
citing papers explorer
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A Universal Large Language Model -- Drone Command and Control Interface
A universal LLM-to-drone interface is implemented via the Model Context Protocol (MCP) and Mavlink, demonstrated with real UAV flight control and simulated flights using live map data.
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Improving Answer Extraction in Context-based Question Answering Systems Using LLMs
Fine-tuning RoBERTa-base on SQuAD1.1 gave the best ROUGE-L/BLEU/BERTScore among twelve models, a result consistent with known capabilities.