Story · Semantic Scholar
Data-reflector: an agentic exploratory data analysis platform for researchers (Semantic Scholar)
paper · Story page
Data-reflector confines the LLM to reading intent, picking tools and parsing filters, and routes every number through fixed functions running locally. Six participants ran it on six clinical and nonclinical datasets, scored partly on whether a second operator could reproduce the run.
In plain words
- Researchers built Data-reflector, a tool for exploring data through questions written in everyday language.
- Artificial intelligence (AI) interprets each question to choose the right calculation tools.
- Preset computer instructions carry out every calculation.
- A trial with 6 participants checked accuracy and whether another person could repeat the work.
- The tool is intended to make data analysis more accessible to researchers who cannot write computer programs.
Appeared in
- VS Code rebuilt its release process around agents and now ships weekly
Oct 05, 2026 · in the sections
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