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E-SENS reveals that a simple reranking approach can dramatically improve retrieval accuracy by effectively managing negative constraints in user queries.
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.