CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval 事件

CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval arXiv:2605.29271v1 Announce Type: new Abstract: Tool retrieval over large API catalogs is a core bottleneck for LLM agents: user queries arrive in colloquial, often underspecified language, while the catalog uses technical API vocabulary that no fixed encoder can bridge on its own. The two dominant training approaches, contrastive encoder fine-tuning and HyDE-style query expansion with a frozen LLM, address this pr