Large language models (LLMs) have been successfully adapted for interact...
We consider the problem of eliciting compositional generalization
capabi...
Although large-scale pre-trained language models (PTLMs) are shown to en...
Reasoning in mathematical domains remains a significant challenge for
re...
We consider the problem of Open-world Information Extraction (Open-world...
Aspect or query-based summarization has recently caught more attention, ...
Knowledge base completion (KBC) aims to predict the missing links in
kno...
Fully-parametric language models generally require a huge number of mode...
Although large language models have achieved impressive zero-shot abilit...
We consider the problem of pretraining a two-stage open-domain question
...
Word Sense Disambiguation (WSD) aims to automatically identify the exact...
Prior background knowledge is essential for human reading and understand...
We aim to automatically generate natural language descriptions about an ...
We aim to automatically generate natural language narratives about an in...
Recent research has shown great progress on fine-grained entity typing. ...