arXiv cs.AI· Yuma Ichikawa·· 15 小时前AI 评分29
Decision Model Factory：按需构建专用主权决策模型
Decision Model Factory: Building Specialized Sovereign Decision Models
AI 导读
Decision Model Factory 提出一套按需构建专用主权决策模型的流程，通过训练、校准、验证与评估选定骨干模型，交付由运营方掌控的可部署决策模型。
正文 · 原文
Abstract:Decision needs vary with each application, language, and deployment environment. The Decision Model Factory turns those needs into specialized, sovereign models on demand. A brief recipe guides the training, calibration, verification, and evaluation of a selected backbone, delivering a deployable decision model under the operator's control. The same workflow creates a new specialist whenever the requirements change. Across Japanese decision tasks, compact deployment, and long-context passage ranking, five factory-built models improve upon their backbones; three surpass the strongest results in a fixed public Japanese benchmark comparison. A dedicated runner computes only permitted-answer probabilities and reuses shared context, more than doubling serving speed on matched multi-question workloads with essentially unchanged decision scores. Together, the factory and runner make fast, task-specific decision models practical to build and deploy whenever needed.
| Comments: | 9 pages, 3 figures |
| Subjects: | Artificial Intelligence (cs.AI); Software Engineering (cs.SE) |
| Cite as: | arXiv:2610.34956 [cs.AI] |
| (or arXiv:2610.34956v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.34956 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Yuma Ichikawa [view email]
[v1]
Mon, 26 Oct 2026 07:23:08 UTC (209 KB)
来源：arXiv cs.AI · arxiv.org