Bidirectional Semantic Complementary Tool Retrieval for Remote Sensing Agents 事件

Bidirectional Semantic Complementary Tool Retrieval for Remote Sensing Agents arXiv:2606.07538v1 Announce Type: cross Abstract: Large language model (LLM)-based agents provide a novel paradigm for the automated processing of remote sensing(RS) data. Their success in complex RS tasks rely on extensive specialized tool libraries. However, tool documentation often exceeds the context window limits of LLMs, making precise tool retrieval essential for agentic workflows. Existing tool retrieval metho