15 citations · 17 across the 8 of their papers we have counts for
4 papers · 1 filter
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
Mingze Wang, Zeping Min, Lei Wu
In this work, we investigate the margin-maximization bias exhibited by gradient-based algorithms in classifying linearly separable data. We present an in-depth analysis of the spec…
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
Zeping Min, Jinbo Wang
This paper explores the integration of Large Language Models (LLMs) into Automatic Speech Recognition (ASR) systems to improve transcription accuracy. The increasing sophistication…
MAC: A unified framework boosting low resource automatic speech recognition
Zeping Min, Qian Ge, Zhong Li +1
We propose a unified framework for low resource automatic speech recognition tasks named meta audio concatenation (MAC). It is easy to implement and can be carried out in extremely…
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture
Zeping Min
Transformers have achieved great success in machine translation, but transformer-based NMT models often require millions of bilingual parallel corpus for training. In this paper, w…