3 papers
cs.CL2024
Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze
Yiyang Li, Lei Li, Dingxin Hu +4
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…
cs.LG2023
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme
Yuanhao Liu, Dehui Du, Zihan Jiang +2
Causal inference permits us to discover covert relationships of various variables in time series. However, in most existing works, the variables mentioned above are the dimensions.…
cs.CL2023
EM Pre-training for Multi-party Dialogue Response Generation
Yiyang Li, Hai Zhao
Dialogue response generation requires an agent to generate a response according to the current dialogue history, in terms of which two-party dialogues have been well studied, but l…