Paper2Agent turns research papers into agents that rerun the science
Jiacheng Miao and James Zou want journals to publish executable agents beside papers, code and data, with researchers still judging the conclusions.
By RuntimeWire Staff · Published
Primary source: X
Why it matters
Paper2Agent proposes a concrete publishing standard for AI-era science: methods that can be queried, tested and reused. Its 26% conversion failure rate also exposes brittle research code.
Jiacheng Miao (@Jiacheng_Miao) and James Zou (@james_y_zou) published Paper2Agent in Nature on September 16th, giving researchers an automated way to turn a scientific paper, its code and its supporting data into an AI agent that can explain the work, rerun analyses and apply its methods to new questions.…
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.