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Ruihai Dong

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
Leveraging BERT to Improve the FEARS Index for Stock Forecasting
Explainable Text-Driven Neural Network for Stock Prediction (*Best Paper Nominated)
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction

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