… study on three typical data management applications using LLMDB, and discuss the
system advantages. (4) We summarize research challenges of LLM-enhanced data management, …

… their database. In this tutorial, we will present existing LLM techniques for data management
[… tutorial to thoroughly review existing LLM techniques for data management. Background of …

This paper presents a scheme to manage heap data in the local memory present in each core
of a limited local memory (LLM) multi-core processor. While it is possible to manage heap …

… data management system for tobacco enterprises through knowledge graph (KG) and large
language model (LLM). Firstly… , such as metadata, data elements, data constraints, arithmetic, …

… Stack data management of the cores is an important problem in LLM architecture, and our
… limitless stack data, ii) increase the applicability of stack management, and iii) perform stack …

… on data management will come from two angles. (1) A number of hard database problems, …
At a minimum, we should be able to tell whether a data source was used as part of an LLM. …

… Based on the aforementioned challenges, we identify design goals for an LLM training data
management system: Goal G1: The system should implement a centralized data layer that …

… This research serves as an indicator that it is worth exploring LLM applications for DQA
further. The application of AI to LCA, both for data quality assessment and other applications, …

… data in the nuclear power industry, this article explores the application of LLM in nuclear power
industry data … Pan, Lifecycle data management of nuclear power plant: framework system …

… D-Bot, a LLM-based database administrator that can continuously acquire database maintenance
… This paper presents a revolutionary LLM-centric framework for database maintenance, …