A multi-agent LLM system using iterative planning and combinatorial innovation produces NLP research ideas with greater diversity and novelty than prior baselines, with quality between accepted and rejected conference papers.
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Enhancing Research Idea Generation through Combinatorial Innovation and Multi-Agent Iterative Search Strategies
A multi-agent LLM system using iterative planning and combinatorial innovation produces NLP research ideas with greater diversity and novelty than prior baselines, with quality between accepted and rejected conference papers.