10 citations · 31 across the 5 of their papers we have counts for
5 papers
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models
Yuanfeng Song, Yuanqin He, Xuefang Zhao +5
The springing up of Large Language Models (LLMs) has shifted the community from single-task-orientated natural language processing (NLP) research to a holistic end-to-end multi-tas…
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition
Yuanfeng Song, Di Jiang, Xuefang Zhao +4
Modern Automatic Speech Recognition (ASR) systems primarily rely on scores from an Acoustic Model (AM) and a Language Model (LM) to rescore the N-best lists. With the abundance of…
DAL: Dual Adversarial Learning for Dialogue Generation
Shaobo Cui, Rongzhong Lian, Di Jiang +3
In open-domain dialogue systems, generative approaches have attracted much attention for response generation. However, existing methods are heavily plagued by generating safe respo…
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering
Di Jiang, Yuanfeng Song, Rongzhong Lian +4
In the last decade, a variety of topic models have been proposed for text engineering. However, except Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation…
Familia: An Open-Source Toolkit for Industrial Topic Modeling
Di Jiang, Zeyu Chen, Rongzhong Lian +2
Familia is an open-source toolkit for pragmatic topic modeling in industry. Familia abstracts the utilities of topic modeling in industry as two paradigms: semantic representation…