Author

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

Speculative decoding accelerates autoregressive generation by using a smaller drafter to propose tokens for batched verification by a larger target. However, conventional speculative decoding couples drafting to the target's evolving verified prefix, serializing drafting and verification. We ask whether this dependency...

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