Using large language models (LMs) for query or document expansion can im...
Rising computational demands of modern natural language processing (NLP)...
When re-finding items, users who forget or are uncertain about identifyi...
Many real-world applications require surfacing extracted snippets to use...
Large language models have introduced exciting new opportunities and
cha...
As language models grow ever larger, the need for large-scale high-quali...
When reading a scholarly article, inline citations help researchers
cont...
While human evaluation remains best practice for accurately judging the
...
The volume of scientific output is creating an urgent need for automated...
Multi-document summarization (MDS) has traditionally been studied assumi...
While research on scientific claim verification has led to the developme...
With the advent of large language models, methods for abstractive
summar...
Systems that can automatically define unfamiliar terms hold the promise ...
Researchers are expected to keep up with an immense literature, yet ofte...
The recent emergence and adoption of Machine Learning technology, and
sp...
Automated scientific fact checking is difficult due to the complexity of...
When seeking information not covered in patient-friendly documents, like...
We introduce the LongChecker system for scientific claim verification. G...
Explanations are well-known to improve recommender systems' transparency...
We present an overview of the SciVer shared task, presented at the 2nd
S...
Few-shot NLP research is highly active, yet conducted in disjoint resear...
Citation context analysis (CCA) is an important task in natural language...
Classifying the core textual components of a scientific paper-title, aut...
Readers of academic research papers often read with the goal of answerin...
We present an overview of the TREC-COVID Challenge, an information retri...
TREC-COVID is a community evaluation designed to build a test collection...
We introduce TLDR generation for scientific papers, a new automatic
summ...
We introduce the task of scientific fact-checking. Given a corpus of
sci...
Language models pretrained on text from a wide variety of sources form t...
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of
sc...
Research in human-centered AI has shown the benefits of machine-learning...
We introduce the task of citation text generation: given a pair of scien...
We introduce S2ORC, a large contextual citation graph of English-languag...
We introduce the Semantic Scholar Graph of References in Context (GORC),...
We introduce Cooperative Generator-Discriminator Networks (Co-opNet), a
...
Obtaining large-scale annotated data for NLP tasks in the scientific dom...
We propose an effective multitask learning setup for reducing distant
su...
Ontology alignment is the task of identifying semantically equivalent
en...
We explore the degree to which papers prepublished on arXiv garner more
...
We describe a deployed scalable system for organizing published scientif...