8 citations · 14 across the 11 of their papers we have counts for
15 papers
An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought
Yuetong Zhao, Hongyu Cao, Xianyu Zhao +1
Since the launch of ChatGPT at the end of 2022, generative dialogue models represented by ChatGPT have quickly become essential tools in daily life. As user expectations increase,…
Low-Resourced Speech Recognition for Iu Mien Language via Weakly-Supervised Phoneme-based Multilingual Pre-training
Lukuan Dong, Donghong Qin, Fengbo Bai +4
The mainstream automatic speech recognition (ASR) technology usually requires hundreds to thousands of hours of annotated speech data. Three approaches to low-resourced ASR are pho…
CUSIDE-T: Chunking, Simulating Future and Decoding for Transducer based Streaming ASR
Wenbo Zhao, Ziwei Li, Chuan Yu +1
Streaming automatic speech recognition (ASR) is very important for many real-world ASR applications. However, a notable challenge for streaming ASR systems lies in balancing operat…
CUSIDE-array: A Streaming Multi-Channel End-to-End Speech Recognition System with Realistic Evaluations
Xiangzhu Kong, Tianqi Ning, Hao Huang +1
Recently multi-channel end-to-end (ME2E) ASR systems have emerged. While streaming single-channel end-to-end ASR has been extensively studied, streaming ME2E ASR is limited in expl…
Energy-Based Models with Applications to Speech and Language Processing
Zhijian Ou
Energy-Based Models (EBMs) are an important class of probabilistic models, also known as random fields and undirected graphical models. EBMs are un-normalized and thus radically di…
Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking
Hong Liu, Yucheng Cai, Yuan Zhou +3
Continual learning is crucial for dialog state tracking (DST) in dialog systems, since requirements from users for new functionalities are often encountered. However, most of exist…