Author

Kai-Cheng Yang

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#artificial intelligence Preprint Oct 2026

Turing LLM Post-Training: Calibrated Distillation and Efficient Dynamic-MoE Execution

We study post-training for dynamically routed mixture-of-experts (MoE) models, focusing on integrating independently optimized specialists while keeping consolidation efficient. Our approach combines calibrated multi-teacher on-policy distillation (C-MOPD), which matches each selected teacher on a local Top-$K$ support...

Yue He, Jia-Hui Hu, Sha-Man Tang et al. · 0 citations

#protein folding Preprint Oct 2026

Trion-1: Unifying Language, Protein Sequence, and Structure with Diffusion Language Models

This work introduces Trion-1, the first native, unified, multimodal diffusion language model (dLLM) for proteins, which unifies six core capabilities: folding, inverse folding, sequence understanding, structure understanding, sequence design, and structure design, while retaining the native language capabilities of gen...

Tian-Yu Lu, Kai-Cheng Yang, Jiang-Tao Feng et al. · 0 citations