Publications (5)
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
Yongjie Wang, Chuan Wang, Ruobing Li +1
In recent years, pre-trained models have become dominant in most natural language processing (NLP) tasks. However, in the area of Automated Essay Scoring (AES), pre-trained models…
LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions
Haochen Xue, Chenghao Liu, Chong Zhang +9
Accurately forecasting electricity price volatility is crucial for effective risk management and decision-making. Traditional forecasting models often fall short in capturing the c…
SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation
Yingzhen Hu, Yiheng Zhong, Ruobing Li +5
The Segment Anything Model (SAM) demonstrates impressive zero-shot segmentation ability on natural images but encounters difficulties in medical imaging due to domain shifts, anato…
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection
Yefei Zha, Ruobing Li, Hui Lin
Off-topic spoken response detection, the task aiming at predicting whether a response is off-topic for the corresponding prompt, is important for an automated speaking assessment s…
A Simple but Effective Classification Model for Grammatical Error Correction
Zhu Kaili, Chuan Wang, Ruobing Li +3
We treat grammatical error correction (GEC) as a classification problem in this study, where for different types of errors, a target word is identified, and the classifier predicts…