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20242026
most citedDB-GPT: Empowering Database Interactions with Private Large Language Models

6 citations · 9 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.AI2024★ 2 cited

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning

Yi Huang, Fangyin Cheng, Fan Zhou +7

In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities in data analytics when integrated with Multi-Agent Systems (MAS). However, these systems oft…

cs.CL2024★ 1 cited

FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering

Siqiao Xue, Xiaojing Li, Fan Zhou +3

In this paper, we introduce FAMMA, an open-source benchmark for \underline{f}in\underline{a}ncial \underline{m}ultilingual \underline{m}ultimodal question \underline{a}nswering (QA…

cs.DB2024

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…

cs.AI2024

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…

cs.DB2024★ 6 cited

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…