14 citations · 20 across the 4 of their papers we have counts for
4 papers
Universal Model in Online Customer Service
Shu-Ting Pi, Cheng-Ping Hsieh, Qun Liu +1
Building machine learning models can be a time-consuming process that often takes several months to implement in typical business scenarios. To ensure consistent model performance…
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
Cheng-Ping Hsieh, Subhankar Ghosh, Boris Ginsburg
Fine-tuning is a popular method for adapting text-to-speech (TTS) models to new speakers. However this approach has some challenges. Usually fine-tuning requires several hours of h…
Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text
Cheng-An Hsieh, Cheng-Ping Hsieh, Pu-Jen Cheng
Multimodal learning is a recent challenge that extends unimodal learning by generalizing its domain to diverse modalities, such as texts, images, or speech. This extension requires…
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh +6
Prompting has shown impressive success in enabling large pretrained language models (LMs) to perform diverse NLP tasks, especially when only few downstream data are available. Auto…