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
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
In product entity resolution, relationship definitions constantly evolve with business needs, yet adapting to each change traditionally requires slow, costly human annotation that is often noisy and carries no reasoning. Large vision-language models (VLMs) prompted zero-shot can adapt to a new definition immediately an...
You Chen, Kyoungjun Park, Bin Xu et al.· 0 citations
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