ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

arXiv:2404.07738v1 Announce Type: cross
Abstract: Scientific Research, vital for improving human life, is hindered by its inherent complexity, slow pace, and the need for specialized experts. To enhance its productivity, we propose a ResearchAgent, a large language model-powered research idea writing agent, which automatically generates problems, methods, and experiment designs while iteratively refining them based on scientific literature. Specifically, starting with a core paper as the primary focus to generate ideas, our ResearchAgent is augmented not only with relevant publications …

abstract agent arxiv complexity cs.ai cs.cl cs.lg experts human improving iterative language language model language models large language large language model large language models life literature productivity research scientific scientific research type vital writing