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Sparse retrieval combined with LLM-based reranking transforms how conversational systems tackle unanswerable queries across multiple domains.
Current benchmarks fail to rigorously evaluate deep research agents, but a new framework leveraging structured knowledge bases and synthetic data offers a verifiable and scalable solution.
