Siriusbi: Building end-to-end business intelligence enhanced by large language models
J Jiang, H **e, Y Shen, Z Zhang, M Lei, Y Zheng… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid advancement of AI technologies, particularly Large Language Models (LLMs), is
establishing a new paradigm for Business Intelligence (BI). Despite the emergence of …
establishing a new paradigm for Business Intelligence (BI). Despite the emergence of …
**yan-sql: A multi-generator ensemble framework for text-to-sql
Y Gao, Y Liu, X Li, X Shi, Y Zhu, Y Wang, S Li… - arxiv preprint arxiv …, 2024 - arxiv.org
To tackle the challenges of large language model performance in natural language to SQL
tasks, we introduce **Yan-SQL, an innovative framework that employs a multi-generator …
tasks, we introduce **Yan-SQL, an innovative framework that employs a multi-generator …
The Design of an LLM-powered Unstructured Analytics System
E Anderson, J Fritz, A Lee, B Li, M Lindblad… - arxiv preprint arxiv …, 2024 - arxiv.org
LLMs demonstrate an uncanny ability to process unstructured data, and as such, have the
potential to go beyond search and run complex, semantic analyses at scale. We describe …
potential to go beyond search and run complex, semantic analyses at scale. We describe …
Rsl-sql: Robust schema linking in text-to-sql generation
Z Cao, Y Zheng, Z Fan, X Zhang, W Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
Text-to-SQL generation aims to translate natural language questions into SQL statements. In
Text-to-SQL based on large language models, schema linking is a widely adopted strategy …
Text-to-SQL based on large language models, schema linking is a widely adopted strategy …
Leveraging LLMs to Enable Natural Language Search on Go-to-market Platforms
J Yao, S Acharya, P Parida, S Attipalli… - arxiv preprint arxiv …, 2024 - arxiv.org
Enterprise searches require users to have complex knowledge of queries, configurations,
and metadata, rendering it difficult for them to access information as needed. Most go-to …
and metadata, rendering it difficult for them to access information as needed. Most go-to …
[HTML][HTML] FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model
With the rapid development of prominent models, NL2SQL has made many breakthroughs,
but customers still hope that the accuracy of NL2SQL can be continuously improved through …
but customers still hope that the accuracy of NL2SQL can be continuously improved through …
Reliable Text-to-SQL with Adaptive Abstention
Large language models (LLMs) have revolutionized natural language interfaces for
databases, particularly in text-to-SQL conversion. However, current approaches often …
databases, particularly in text-to-SQL conversion. However, current approaches often …
NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language
The emergence of Large Language Models (LLMs) has revolutionized many fields, not only
traditional natural language processing (NLP) tasks. Recently, research on applying LLMs to …
traditional natural language processing (NLP) tasks. Recently, research on applying LLMs to …
CoddLLM: Empowering Large Language Models for Data Analytics
Large Language Models (LLMs) have the potential to revolutionize data analytics by
simplifying tasks such as data discovery and SQL query synthesis through natural language …
simplifying tasks such as data discovery and SQL query synthesis through natural language …
A Study of In-Context-Learning-Based Text-to-SQL Errors
J Shen, C Wan, R Qiao, J Zou, H Xu, Y Shao… - arxiv preprint arxiv …, 2025 - arxiv.org
Large language models (LLMs) have been adopted to perform text-to-SQL tasks, utilizing
their in-context learning (ICL) capability to translate natural language questions into …
their in-context learning (ICL) capability to translate natural language questions into …