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Kongzi: A Historical Large Language Model with Fact Enhancement

Kongzi is proposed, a language model for historical understanding and reasoning that combines continued pre-training on historical corpora, supervised fine-tuning, and fact-enhanced reinforcement learning that improves the mean answer scores of both model sizes and their CMMLU-Chinese-History accuracy.

Jia-Shu Yang, Ning Wang, Yian Zhao et al. · 4 citations
#artificial intelligence Preprint Oct 2026

Does On-Policy Distillation Need to Complete Every Rollout?

On-policy distillation (OPD) transfers teacher knowledge to a student through feedback on student-generated rollouts, but generating complete rollouts and computing per-token teacher feedback are computationally expensive. Existing truncation methods save computation by stopping rollouts early. However, they do not com...

Zheng-Xin Zhang, Mao-Sen Tang, Ning Wang et al. · 0 citations

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