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IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation

Gumma, Varun et al.
arXiv (All) · Papers
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artificial-intelligence
Large Language Models (LLMs) have significantly advanced the automation of scientific discovery. However, existing systems share a core limitation: they optimize ideas independently for either Quality or Diversity. This often results in closely related ideas or large sets of trivial, unsound, or unc
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