[R] Low-effort papers

I came across a professor with 100+ published papers, and the pattern is striking. Almost every paper follows the same formula: take a new YOLO version (v8, v9, v10, v11. ), train it on a public dataset from Roboflow, report results, and publish. Repeat for every new YOLO release and every new application domain. As someone who works in computer vision, I can confidently say this entire research output could be replicated by a grad student in a day or two using the Ultralytics repo.