arXiv paper proposes Budgeted Subset Refinement to refine LLM research ideas with limited resources; tackles diversity and evaluability challenges.
Read the original at arxiv.org→arXiv:2607.14118v1 Announce Type: new Abstract: Large language models (LLMs) can generate research ideas that appear novel to expert reviewers, but recent work also shows that such ideas often lack diversity, are...
Original headline: "Budgeted Subset Refinement for Execution-Aware LLM Research Ideation"