Search Results for author: Junhong Wu

Found 2 papers, 2 papers with code

F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation

1 code implementation • 7 Apr 2024 • Junhong Wu, Yuchen Liu, Chengqing Zong

In the evolving landscape of Neural Machine Translation (NMT), the pretrain-then-finetune paradigm has yielded impressive results.

Continual Learning Machine Translation +2

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Code

BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing

1 code implementation • 2 Sep 2023 • Chen Wang, Minpeng Liao, Zhongqiang Huang, Jinliang Lu, Junhong Wu, Yuchen Liu, Chengqing Zong, Jiajun Zhang

One is a cascaded approach where outputs (tokens or states) of a separately trained speech recognition system are used as inputs for LLMs, which limits their potential in modeling alignment between speech and text.

speech-recognition Speech Recognition +1

Paper
Code

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