5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.DB2024★ 1 cited
A Method for Parsing and Vectorization of Semi-structured Data used in Retrieval Augmented Generation
Hang Yang, Jing Guo, Jianchuan Qi +5
This paper presents a novel method for parsing and vectorizing semi-structured data to enhance the functionality of Retrieval-Augmented Generation (RAG) within Large Language Model…
cs.CL2023★ 5 cited
Empowering Working Memory for Large Language Model Agents
Jing Guo, Nan Li, Jianchuan Qi +5
Large language models (LLMs) have achieved impressive linguistic capabilities. However, a key limitation persists in their lack of human-like memory faculties. LLMs exhibit constra…