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WorkFactory introduces a scalable framework for constructing coherent, executable professional tasks via information-level planning and repair, producing 112,686 tasks across 612 occupations to fine-tune the WorkPilot model family (Qwen 4B/27B/35B-A3B), which improve over base models on professional-work benchmarks.
This paper introduces GRAM (gradient-routed auxiliary modules), a modular pretraining method that enables access control by selectively adding and ablating modules to limit dual-use capabilities in AI models, showing cost reductions compared to data filtering.