2 papers
cs.CL2021
Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable
Ruiliu Fu, Han Wang, Xuejun Zhang +2
Multi-hop QA requires the machine to answer complex questions through finding multiple clues and reasoning, and provide explanatory evidence to demonstrate the machine reasoning pr…
cs.CL2021
Reminding the Incremental Language Model via Data-Free Self-Distillation
Han Wang, Ruiliu Fu, Chengzhang Li +3
Incremental language learning with pseudo-data can alleviate catastrophic forgetting in neural networks. However, to obtain better performance, former methods have higher demands f…