Author

Xu-Zhe Yan

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Preprint Oct 2026

Request-Adaptive Execution for Efficient Hybrid LLM Inference

Hybrid large language models (LLMs) have emerged as a promising way to combine the modeling capability of the Attention mechanism with the efficiency of state space models (SSMs). However, most existing hybrid LLMs still inherit a static design philosophy: once the Attention-to-SSM layout is chosen, every request must...

Fa-Hao Chen, Xu-Zhe Yan, Qi Zhang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

On the Fundamental Limits of Prefill-Based Decoding Length Prediction

It is argued for a benchmarking protocol that fixes the model, data, and sampling parameters and that reports relative-error metrics alongside absolute ones, confirming that system error dominates model error.

Hao-Wen Shi, Xu-Zhe Yan, Fa-Hao Chen et al. · 0 citations