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Iteratively exploring a corpus graph during reranking can substantially boost reasoning-intensive retrieval performance, even with weaker rerankers, offering a surprisingly effective alternative to computationally expensive retriever improvements.
LLM agents' web search queries favor lexical and sparse retrievers, challenging the assumption that dense retrieval is always superior in deep research.
