2 papers
cs.CL2024
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…
cs.DB2024
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…