agentic-r-learning-to-retrieve-for-agentic-search

Agentic search has recently emerged as a powerful paradigm, where an agent interleaves multi-step reasoning with on-demand retrieval to solve complex questions. Despite its success, how to design a retriever for agentic search remains largely underexplored. Existing search agents typically rely on similarity-based retrievers, while similar passages are not …

Independent GitHub snapshot · Automated classification · Original documentation governs