Technion-Kishony-lab/data-to-paper
An automation framework using interacting LLM-driven agents to autonomously conduct complete end-to-end scientific research, from raw data to backward-traceable research papers.
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The framework orchestrates multiple AI agents through the full scientific research pipeline, including data exploration, literature search, hypothesis generation, data analysis, and manuscript writing. It creates backward-traceable scientific papers where any numeric value can be traced to the specific code lines that produced it. The system is designed to be field-agnostic and works from raw data alone, with human-verifiable outputs for scientific validity.
Frequently asked
- What is Technion-Kishony-lab/data-to-paper?
- An automation framework using interacting LLM-driven agents to autonomously conduct complete end-to-end scientific research, from raw data to backward-traceable research papers.
- Is data-to-paper open source?
- Yes — Technion-Kishony-lab/data-to-paper is open source, released under the MIT license.
- What language is data-to-paper written in?
- Technion-Kishony-lab/data-to-paper is primarily written in Python.
- How popular is data-to-paper?
- Technion-Kishony-lab/data-to-paper has 812 stars on GitHub.
- Where can I find data-to-paper?
- Technion-Kishony-lab/data-to-paper is on GitHub at https://github.com/Technion-Kishony-lab/data-to-paper.