Budgeted Subset Refinement for Execution-Aware LLM Research Ideation

arXiv cs.CL · 6 hours ago

Researchers developed Budgeted Subset Refinement, a strategy for selecting which LLM-generated research ideas to refine when resources are limited, rather than refining all ideas equally. Testing across 10 research environments showed that diversity-aware refinement of selected subsets produced 40% more usable research ideas than uniform refinement while reducing duplicates. The findings suggest LLM ideation systems should be designed as resource-allocation platforms rather than mere idea generators, though results depend on proxy metrics rather than actual execution outcomes.