In recent years, In-context Learning (ICL) has gained increasing attenti...
Large pretrained language models (LMs) have shown impressive In-Context
...
Recently, dataset-generation-based zero-shot learning has shown promisin...
Recently, diffusion models have emerged as a new paradigm for generative...
Transformer has achieved remarkable success in language, image, and spee...
Recently, contrastive learning attracts increasing interests in neural t...
There is a growing interest in dataset generation recently due to the
su...
Document-level relation extraction aims to identify relations between
en...
This paper describes the Volctrans' submission to the WMT21 news transla...
Developing a unified multilingual translation model is a key topic in ma...
A popular strategy to train recurrent neural networks (RNNs), known as
“...
We investigate the following question for machine translation (MT): can ...
Non-autoregressive models are promising on various text generation tasks...
Vision-Language Navigation (VLN) is the task where an agent is commanded...
In this paper, we propose Neural Phrase-to-Phrase Machine Translation
(N...