AI agents take over academic paper diagrams
Researchers from Peking University and Google Cloud AI just built PaperBanana, a multi-agent system that turns raw scientific text into publication-ready illustrations. Five specialized agents handle retrieval, planning, styling, rendering, and critique, beating standard baselines on NeurIPS benchmarks and even polishing rough human sketches. Why it matters: It tackles one of the most tedious bottlenecks in scientific research, though the models still occasionally mix up complex node connections.