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Yeyun Gong

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Open access Sep 2026

OrchAlign: Orchestrated Multimodal Alignment for Gene Expression Prediction.

MOTIVATION Gene expression prediction benefits from integrating DNA sequences and epigenomic signals. Existing approaches typically combine these modalities using simple operations such as concatenation or summation, without explicitly modeling fine-grained token-level cross-modal interactions. Establishing precise cro...

Li Liu, Guipeng Xv, Shu-Jie Liu et al. · 0 citations
#natural language process... Preprint Sep 2026

Expert-Space Exploration in MoE Reinforcement Learning

ESRL is introduced, an architecture-aware framework that explicitly explores the expert-routing space of MoE models, and preserves high-confidence experts as anchors, and restricts stochastic routing to a plausible candidate pool, thereby retaining reliable computation paths.

Hong-Yi He, Zheng-Wen Lin, Xiao Liu et al. · 0 citations

MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration

This work proposes MSign, a new optimizer that periodically applies matrix sign operations to restore stable rank in a 5M-parameter NanoGPT model, and proves theoretically that these two conditions jointly cause exponential gradient norm growth with network depth.

Lianhai Ren, Yucheng Ding, Xiao Liu et al. · 1 citation

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