DashArena: Benchmarking LLMs on Interactive Analytic Dashboard Generation
Quick summary
arXiv:2608.10567v1 Announce Type: new Abstract: Analytic dashboards combine coordinated views and interactions for data exploration and decision-making. Recent models can generate them from data and natural-language goals, but evaluating their usefulness remains difficult. Dashboard generation is open-ended, and neither static appearance nor successful execution alone captures analytical support and interaction quality. We introduce DashArena, to our knowledge the first benchmark for open-ended, task-grounded generation of interactive analytic dashboards. Its key innovation is to require each
Key takeaways
- arXiv:2608.10567v1 Announce Type: new Abstract: Analytic dashboards combine coordinated views and interactions for data exploration and decision-making.
- Recent models can generate them from data and natural-language goals, but evaluating their usefulness remains difficult.
- Dashboard generation is open-ended, and neither static appearance nor successful execution alone captures analytical support and interaction quality.
Why it matters
“DashArena: Benchmarking LLMs on Interactive Analytic Dashboard Generation” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.
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