This is the prompt Yale and Univ of Chicago researchers used when asking LLMs for new research ideas.
Feed LLMs prior work, ask for ideas, then measure how repetitive the ideas get.
The surprising finding is that LLMs often treat research ideation as connecting what already exists, while humans use a wider set of problem-finding moves.
LLM-generated ideas reveal a bias toward safe bridge-and-combine proposals.
This Yale + University of Chicago paper shows that real gap between LLM generated research ideas vs humans is not idea quality, but idea range: LLMs think narro...