Large language models have demonstrated an emergent capability in answer...
Large-scale multi-modal pre-training models such as CLIP and PaLI exhibi...
Much recent research on information retrieval has focused on how to tran...
An abundance of datasets and availability of reliable evaluation metrics...
For open-domain conversational question answering (CQA), it is important...
It has been shown that dual encoders trained on one domain often fail to...
Dual encoder architectures perform retrieval by encoding documents and
q...
We present a method to represent input texts by contextualizing them joi...
We examine the capabilities of a unified, multi-task framework for three...
We present a PaperRobot who performs as an automatic research assistant ...
We introduce a general framework for several information extraction task...
Generating texts which express complex ideas spanning multiple sentences...
As a research community grows, more and more papers are published each y...
This work improves monolingual sentence alignment for text simplificatio...
We introduce a multi-task setup of identifying and classifying entities,...
This paper describes our submission for the SemEval 2018 Task 7 shared t...
Building a persona-based conversation agent is challenging owing to the ...
This paper addresses the problem of extracting keyphrases from scientifi...
In this paper, we present a conversational model that incorporates both
...