Author

Chang Gao

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#artificial intelligence Preprint Oct 2026

Stepped MoE: Segment-Level Routing with Configurable Inference Complexity

Training large language models (LLMs) is resource-intensive, and adapting them for diverse deployment scenarios with varying computational constraints remains challenging. While elastic architectures enable flexible model deployment and sparsely activated models allow input-adaptive computation, existing approaches tre...

Arnav Kundu, Zhao-Yang Xu, Bai-Ru Hou et al. · 0 citations

#artificial intelligence Preprint Sep 2026

GrainSpeech: Less Context, More Detail for Compact Speech Synthesis

A receptive-field-scaling study shows that expanding self-attention beyond 15 phonemes provides no consistent gains in pitch, energy, or duration prediction, and introduces a fixed-receptive-field convolutional encoder that reduces the respective prediction errors.

Zi-Tao Liang, Chang Gao · 0 citations