5 papers
TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis
Boshen Shi, Yize Liu, Chen Zhao +4
LLMs are increasingly used to analyze spreadsheets, CSV files, and other structured data, but producing a correct-looking answer is not the same as producing a trustworthy analysis…
NL2Dashboard: A Lightweight and Controllable Framework for Generating Dashboards with LLMs
Boshen Shi, Kexin Yang, Yuanbo Yang +5
While Large Language Models (LLMs) have demonstrated remarkable proficiency in generating standalone charts, synthesizing comprehensive dashboards remains a formidable challenge. E…
JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models
Ce Chi, Xing Wang, Zhendong Wang +9
In this work, we present JT-DA-8B (JiuTian Data Analyst 8B), a specialized large language model designed for complex table reasoning tasks across diverse real-world scenarios. To a…
TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models
Ce Li, Xiaofan Liu, Zhiyan Song +9
The majority of data in businesses and industries is stored in tables, databases, and data warehouses. Reasoning with table-structured data poses significant challenges for large l…
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
Ce Chi, Xing Wang, Kexin Yang +5
Transformer has become one of the most popular architectures for multivariate time series (MTS) forecasting. Recent Transformer-based MTS models generally prefer channel-independen…