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Even when large language models know *what* clarifying question to ask, they still struggle to understand the answer and provide a correct final response, revealing a critical gap in multi-turn QA.
LLMs are often overconfident chatbots, not helpful assistants: they can spot ambiguous questions, but almost never ask for clarification before answering.
