Unverified60% confidenceSolutionExact time
When a large model finds insufficient information in the prompt, the Ask User Question mechanism allows it to proactively ask the user questions to fill contextual gaps.
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60%
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Long-term
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8/24/2026
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UnverifiedBy having the large model ask follow-up questions, Q&A continuously accumulates in the context, and only when the contextual information is sufficiently rich will the model generate more reliable solutions.79% similarUnverifiedThe prompt determines how users converse with the model and how tasks are communicated clearly, making it the most fundamental layer and one that is most easily underestimated.76% similarUnverifiedThe study constructs a theory-grounded taxonomy that distinguishes curiosity-driven questions from general model questions: the former point toward unknown domains, while the latter are closer to customer-service-style confirmation or task clarification.74% similarUnverifiedTo reduce inappropriate LLM capitulation, users should simplify hard-to-verify questions and require deep reasoning, state problems rather than preferred answers, demand evidence on open-ended questions, and select models based on their guardrail profiles.74% similar
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