scidiagramedit-0874a07b·1 events·first seen Aliases: SciDiagramEdit
Researchers introduce SciDiagramEdit, a benchmark and skill-evolution framework for automating edits to scientific figures under natural-language instructions. The benchmark mines before/after figure pairs from arXiv version histories, grounding training in authors' own revision intent. An agentic proposer iteratively refines the agent's skill specification from execution traces, progressively improving edit accuracy on held-out validation. The work demonstrates that natural paper revisions are an effective training signal for instruction-driven figure editing.