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Author

Xianglong Liu

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Preprint Aug 2026

WDL-OPD: Weak-Driven On-Policy Distillation via Mixture-Constrained Co-Training

WDL-OPD is introduced, a mixture-constrained co-training method with two trainable policies that shows that freezing the auxiliary recovers an anchor-plus-contrast proxy target closely related to OPD$^2$ and W2S-OPD, whereas joint training creates branch-level degrees of freedom that a static delta cannot express.

Ze-Hao Chen, Gong-Xun Li, Tianxiang Ai et al. · 0 citations

L pCoder ∞ : Scaling Code Intelligence via Looped Language Models

This work presents LoopCoder pre-trained on 12T+ code and general tokens, along with LoopCoder-Thinking and LoopCoder-Instruct variants, the first large-scale looped transformer for code, achieving comparable performance to standard dense architectures with more parameters.

Jian Yang, Wei Zhang, Shawn Guo et al. · 0 citations

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