8 citations · 13 across the 3 of their papers we have counts for
4 papers
DuoLM: Fast and Effective Personalized Recommendation with Language Models
Jiang Wu, Yutong Song, Hongbo Wang +3
Language models can make personalized recommendations from rich item content, user history, and feedback. However, evaluating many candidates with full-text inputs incurs substanti…
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…
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…
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…