Research consumption has been traditionally limited to the reading of
ac...
Confounding is a significant obstacle to unbiased estimation of causal
e...
Revising scientific papers based on peer feedback is a challenging task ...
Large language models have introduced exciting new opportunities and
cha...
When reading a scholarly article, inline citations help researchers
cont...
In order to help scholars understand and follow a research topic, signif...
Scholars who want to research a scientific topic must take time to read,...
The volume of scientific output is creating an urgent need for automated...
Figures in scientific publications contain important information and res...
The vast scale and open-ended nature of knowledge graphs (KGs) make
expl...
Researchers are expected to keep up with an immense literature, yet ofte...
The ever-increasing pace of scientific publication necessitates methods ...
When seeking information not covered in patient-friendly documents, like...
Few-shot NLP research is highly active, yet conducted in disjoint resear...
The majority of scientific papers are distributed in PDF, which pose
cha...
Leaderboards have eased model development for many NLP datasets by
stand...
Traditional approaches for ensuring high quality crowdwork have failed t...