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LLMs can be prompted to rewrite queries in the style of relevant documents, creating datasets that dramatically improve retrieval performance by aligning with domain-specific language.
LLMs can suffer significant reliability drops in multi-turn conversations, revealing failure modes like instruction drift and intent confusion that challenge their dependable deployment.