Argument mining involves multiple sub-tasks that automatically identify
...
As large language models (LLMs) have demonstrated their powerful capabil...
Large language models (LLMs) have made significant progress in natural
l...
Human evaluations are often required for abstractive summary evaluations...
Recently, data augmentation (DA) methods have been proven to be effectiv...
Pre-trained language models (PLMs) have accomplished impressive achievem...
A wide range of control perspectives have been explored in controllable ...
Traditionally, a debate usually requires a manual preparation process,
i...
When directly using existing text generation datasets for controllable
g...
Adapter-based tuning has recently arisen as an alternative to fine-tunin...
Existing works on KG-to-text generation take as input a few RDF triples ...