Author

Li-Xuan Wei

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Open access Sep 2026

Assessing the use of automatic speech recognition and large language models for individuals with language impairments

This work systematically evaluates edge-oriented ASR-LLM pipelines for individuals with language impairments using comparison studies and ablation experiments across aphasia, child language impairment, and dementia datasets to identify transcript errors, repetition, noise, and input length as factors affecting system p...

Ge-Lei Xu, Hao-Tong Yu, Li-Xuan Wei et al. · Nature Communications · 0 citations

#artificial intelligence Preprint Sep 2026

Early-Bird Decoding: Accelerating Diffusion LLMs with Learnable Block Sizes and Parallel Sampling

Diffusion large language models (dLLMs) offer a promising parallel decoding paradigm as an alternative to autoregressive generation through iterative unmasking. However, dLLMs typically require many steps before token confidence reaches the decoding threshold, resulting in inefficient inference even with block-wise KV...

Li-Xuan Wei, Wei Zhou, Jian-Wen Wu et al. · 0 citations