8 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.IR2024★ 3 cited
Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models
Chunhe Ni, Jiang Wu, Hongbo Wang +2
Large Language Models (LLMs) are a class of generative AI models built using the Transformer network, capable of leveraging vast datasets to identify, summarize, translate, predict…
cs.IR2024★ 2 cited
Enhanced User Interaction in Operating Systems through Machine Learning Language Models
Chenwei Zhang, Wenran Lu, Chunhe Ni +2
With the large language model showing human-like logical reasoning and understanding ability, whether agents based on the large language model can simulate the interaction behavior…
cs.LG2024★ 8 cited
Data Pipeline Training: Integrating AutoML to Optimize the Data Flow of Machine Learning Models
Jiang Wu, Hongbo Wang, Chunhe Ni +2
Data Pipeline plays an indispensable role in tasks such as modeling machine learning and developing data products. With the increasing diversification and complexity of Data source…