Chinese-Jev: Bringing System One Model to Chinese-Language Tasks
- 类型：arxiv
- 标识：2609.36965
- 链接：https://arxiv.org/abs/2609.36965
- 主分类：engineering
- 形态：method
- TLDR：System One models such as Jev offer an efficient alternative to generative language models for tasks that require decisions rather than open-ended responses. However, existing Jev models exhibit limited Chinese-language decision accuracy, restricting their utility in both general and specialized settings. In this paper, we introduce Chinese-Jev, a System One model that addresses this gap through a unified data processing and training pipeline. Our data processing protocol converts heterogeneous Chinese-language annotations into probability targets over candidate options, enabling a shared trai
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-09-30-agent-rag-longcontext-candidates.json