no code implementations • 15 Apr 2024 • Bin Wang, Chengwei Wei, Zhengyuan Liu, Geyu Lin, Nancy F. Chen
As the rapidly advancing domain of natural language processing (NLP), large language models (LLMs) have emerged as powerful tools for interpreting human commands and generating text across various tasks.
Automatic Speech Recognition Optical Character Recognition +3
no code implementations • 15 Jan 2024 • Chengwei Wei, Runqi Pang, C. -C. Jay Kuo
As a fundamental tool for natural language processing (NLP), the part-of-speech (POS) tagger assigns the POS label to each word in a sentence.
no code implementations • 16 Sep 2023 • Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, C. -C. Jay Kuo
Thus, a comprehensive overview on bias and fairness in chatbot systems is given in this paper.
no code implementations • 2 Jun 2023 • Yun-Cheng Wang, Jintang Xue, Chengwei Wei, C. -C. Jay Kuo
The rapid development of GenAI systems has created a huge amount of new data on the Internet, posing new challenges to current computing and communication frameworks.
no code implementations • 10 Mar 2023 • Chengwei Wei, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo
Language modeling studies the probability distributions over strings of texts.
1 code implementation • 24 Sep 2022 • Bin Wang, Chen Zhang, Chengwei Wei, Haizhou Li
Output length is critical to dialogue summarization systems.
1 code implementation • 20 Jun 2022 • Chengwei Wei, Bin Wang, C. -C. Jay Kuo
It also outperforms other WMD-based methods on sentence classification tasks.
no code implementations • 26 Oct 2021 • Chengwei Wei, Bin Wang, C. -C. Jay Kuo
Two task-specific dependency-based word embedding methods are proposed for text classification in this work.