Scientific ideation is driven by curiosity: researchers ask questions that expose knowledge gaps, reveal competing hypotheses, and clarify missing evidence relevant to decision making. Yet, most LLM-based ideation systems optimize the idea text while leaving curiosity under-modeled, resulting in brittle, engine-specifi...
Sikun Guo, Di Wang, Xiaohan Fan et al.· Proceedings of the 32nd ACM...· 0 citations
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