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Why It Matters
System One models such as Jev offer an efficient alternative to generative language models for tasks that require decisions rather than open-ended responses.
Provenance
Discovered via ArXiv and published by ArXiv.
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Original description
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...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.36965v1 · Indexed about 2 hours ago