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Yun-Zhe Li

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#artificial intelligence Preprint Sep 2026

Audio Token Attention Is Predictable Before the Language Model Runs

A large audio language model (LALM) turns a minute of speech into 750-1,500 tokens and prefills every one. Image-token pruning often cuts after the language model's first layers, where image tokens draw little attention. Audio tokens draw much more attention there, and their ranking is still far from final, so audio ne...

Kyoungjun Park, Yun-Zhe Li, Li-Li Qiu · 0 citations

#artificial intelligence Preprint Sep 2026

AS$^2$D: Accelerating On-Demand Audio Understanding on Mobile Devices

The results show that source-conditioned audio generation can relax the conventional dependence of speculative drafting on the target's evolving output prefix, exposing substantial parallelism for efficient inference.

Yun-Zhe Li, Kyoungjun Park, Hong-Zi Zhu et al. · 0 citations