Yiyang Li

Deep Reinforcement Learning Bearing Fault Diagnosis Method Based on Improved Reward Function

2023

In deep reinforcement learning, the traditional reward function is limited in the problem of multi-class sample imbalance. In this paper, an improved reward function based deep reinforcement learning bearing fault diagnosis method is proposed. Firstly, …

Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze

2024 · arXiv (Cornell University)

Improving factual consistency in abstractive summarization has been a focus of current research. One promising approach is the post-editing method. However, previous works have yet to make sufficient use of factual factors in summaries and …

Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-Generation Cloze

2025 · IEEE Transactions on Audio Speech and Language Processing

Improving factual consistency in abstractive summarization has been a focus of recent research. One promising approach is the post-editing method. However, previous works have yet to make sufficient use of factual factors in summaries and …