10 citations · 35 across the 10 of their papers we have counts for
7 papers · 1 filter
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction
Victor Junqiu Wei, Weicheng Wang, Di Jiang +2
Automatic speech Recognition (ASR) is a fundamental and important task in the field of speech and natural language processing. It is an inherent building block in many applications…
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…
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey
Weixu Zhang, Yifei Wang, Yuanfeng Song +6
The emergence of natural language processing has revolutionized the way users interact with tabular data, enabling a shift from traditional query languages and manual plotting to m…
Automatic Data Visualization Generation from Chinese Natural Language Questions
Yan Ge, Victor Junqiu Wei, Yuanfeng Song +2
Data visualization has emerged as an effective tool for getting insights from massive datasets. Due to the hardness of manipulating the programming languages of data visualization,…
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…