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.
The multi-agent iterative planning and search strategy integrates two core modules: knowledge planning and search, and multi-agent genera-tion
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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.