6 citations · 6 across the 4 of their papers we have counts for
5 papers
OmniTable: A Unified Wide-Table System for Petabyte-Scale LLM Data Curation and Exploration
Yuzhuo Fu, Xiangchun Wang, Chao Huang +16
Data curation is a critical bottleneck in industrial-grade LLM development, where petabyte-scale unstructured corpora are scattered across hundreds of physical tables, feature engi…
OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies
Peng Di, Faqiang Chen, Xiao Bai +12
The escalating complexity of modern software imposes an unsustainable operational burden on Site Reliability Engineering (SRE) teams, demanding AI-driven automation that can emulat…
DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models
Fan Zhou, Siqiao Xue, Danrui Qi +8
Large language models (LLMs) becomes the dominant paradigm for the challenging task of text-to-SQL. LLM-empowered text-to-SQL methods are typically categorized into prompting-based…
Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models
Siqiao Xue, Danrui Qi, Caigao Jiang +13
The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. The technologies of interacting with data particularly have an importa…
DB-GPT: Empowering Database Interactions with Private Large Language Models
Siqiao Xue, Caigao Jiang, Wenhui Shi +13
The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. Database technologies particularly have an important entanglement with…