3 papers
cs.CL2026
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…
cs.AI2026
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…
cs.AI2025
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…