Akira Otsuki

Comparing Genetic Algorithms and LLMs for Research-Hypothesis Generation: Mainstream Convergence of LLMs, Wider Hypothesis Exploration by Combinatorial Search, and the Limits of Literature-Distance Novelty Metrics

Large language model (LLM)-based creative AI systems tend to produce plausible rather than novel research ideas. This study compares two ways of generating research hypotheses: a genetic algorithm (GA) that recombines Method, Problem, and Goal elements under a fitness function rewarding distance from the literature and...