Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

Tensor network structure search (TN-SS), aiming at searching for suitable tensor network (TN) structures in representing high-dimensional problems, largely promotes the efficacy of TN in various machine learning applications. Nonetheless, finding a satisfactory TN structure using existing algorithms remains challenging. To develop more effective algorithms and avoid the human labor-intensive development process, we explore the knowledge embedded in large language models (LLMs) for the automatic design of TN-SS algorithms. Our approach, dubbed GPTN-SS, leverages an elaborate crafting LLM-based prompting system …

algorithms applications cs.lg language language models large language large language models llms machine machine learning machine learning applications network search search algorithms searching tensor via