APEX-Searcher: Refining Credit Assignment with Subgoaling for Agentic Retrieval-Augmented Generation 事件

APEX-Searcher: Refining Credit Assignment with Subgoaling for Agentic Retrieval-Augmented Generation arXiv:2603.13853v3 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) connects large language models (LLMs) to external knowledge, but single-round retrieval is often insufficient for complex multi-hop questions. To enhance search capabilities for complex tasks, most existing works integrate multi-round iterative retrieval with reasoning processes via end-to-end training. Whil