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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…