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worldbenchSurvey of AI for automated scientific research
Top 77.3% on SourcePulse
This repository provides a comprehensive survey of AI Auto-Research, cataloging papers and tools that automate or assist in the scientific research lifecycle. It targets researchers, engineers, and practitioners seeking to understand and leverage AI for accelerating scientific discovery, offering a roadmap and user guide to the evolving landscape of AI-driven research.
How It Works
The project structures AI Auto-Research around an eight-stage, four-phase model of the academic research lifecycle: Creation (Idea Generation, Literature Review, Coding & Experiments, Tables & Figures), Writing, Validation (Peer Review, Rebuttal & Revision), and Dissemination (Paper2X). Each stage is detailed with numerous sub-categories, linking to relevant academic papers, models, and open-source repositories.
Quick Start & Requirements
This repository is a curated list of resources and does not involve direct installation or execution. It serves as a reference guide to existing research and tools in AI Auto-Research.
Highlighted Details
Maintenance & Community
The repository is maintained by WorldBench and was last updated on 2026-05-18.
Licensing & Compatibility
No specific licensing information is provided for the curated list itself. Users should refer to the individual licenses of the linked papers and repositories.
Limitations & Caveats
As a rapidly evolving field, the survey's content reflects the state of AI Auto-Research up to its last update. The dynamic nature of AI research means new tools and papers emerge continuously. The absence of explicit licensing for the curated list requires users to verify compatibility for any derivative use.
3 weeks ago
Inactive