25 citations · 130 across the 24 of their papers we have counts for
8 papers · 1 filter
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting
Hui Wang, Shiwan Zhao, Xiguang Zheng +1
Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the perceptual quality of the synthetic speech. While recent approaches using pre-trained self-supervised learn…
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition
Xuechen Wang, Shiwan Zhao, Yong Qin
Speech Emotion Recognition (SER) is a challenging task due to limited data and blurred boundaries of certain emotions. In this paper, we present a comprehensive approach to improve…
Better Zero-Shot Reasoning with Role-Play Prompting
Aobo Kong, Shiwan Zhao, Hao Chen +6
Modern large language models (LLMs) exhibit a remarkable capacity for role-playing, enabling them to embody not only human characters but also non-human entities. This versatility…
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu, Zhen Zhang, Shiwan Zhao +2
As a main field of artificial intelligence, natural language processing (NLP) has achieved remarkable success via deep neural networks. Plenty of NLP tasks have been addressed in a…
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Mengting Hu, Yinhao Bai, Yike Wu +5
Recently, aspect sentiment quad prediction has received widespread attention in the field of aspect-based sentiment analysis. Existing studies extract quadruplets via pre-trained g…
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Zhen Zhang, Mengting Hu, Shiwan Zhao +6
Most named entity recognition (NER) systems focus on improving model performance, ignoring the need to quantify model uncertainty, which is critical to the reliability of NER syste…
PromptRank: Unsupervised Keyphrase Extraction Using Prompt
Aobo Kong, Shiwan Zhao, Hao Chen +4
The keyphrase extraction task refers to the automatic selection of phrases from a given document to summarize its core content. State-of-the-art (SOTA) performance has recently bee…
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition
Jiaming Zhou, Shiwan Zhao, Ning Jiang +2
End-to-end automatic speech recognition (ASR) usually suffers from performance degradation when applied to a new domain due to domain shift. Unsupervised domain adaptation (UDA) ai…