Translating training data into target languages has proven beneficial fo...
We propose Reinforcement Learning from Contrast Distillation (RLCD), a m...
Through iterative, cross-disciplinary discussions, we define and propose...
Recent development in vision-language approaches has instigated a paradi...
Recent advances in open-domain text generation models powered by large
p...
NeurAlly-Decomposed Oracle (NADO) is a powerful approach for controllabl...
Automatic melody-to-lyric generation is a task in which song lyrics are
...
Event argument extraction (EAE) identifies event arguments and their spe...
Existing efforts on text synthesis for code-switching mostly require tra...
Social biases and stereotypes are embedded in our culture in part throug...
Structure prediction tasks such as event extraction require an in-depth
...
News articles are driven by the informational sources journalists use in...
Pretrained model-based evaluation metrics have demonstrated strong
perfo...
Vision-and-language navigation (VLN) agents are trained to navigate in
r...
Recent works on instruction tuning (IT) have achieved great performance ...
Commonsense reasoning is omnipresent in human communications and thus is...
Automatic song writing is a topic of significant practical interest. How...
Despite the success of autoregressive large language models in text
gene...
Dialogue state tracking (DST) is an important step in dialogue managemen...
While GPT-2 generates sentences that are remarkably human-like, longer
d...
We present X-Decoder, a generalized decoding model that can predict
pixe...
We propose the Detailed Outline Control (DOC) framework for improving
lo...
We present a robust methodology for evaluating biases in natural languag...
Fairy tales are a common resource for young children to learn a language...
We propose a unified framework to generate both homophonic and homograph...
We propose EnDex, the first human-reaction based model to evaluate dialo...
Story visualization advances the traditional text-to-image generation by...
We consider the problem of automatically generating longer stories of ov...
Recent advances in large pre-trained language models have demonstrated s...
NECE is an event-based text analysis toolkit built for narrative documen...
Event extraction in the clinical domain is an under-explored research ar...
Vision-language (VL) pre-training has recently received considerable
att...
News article revision histories provide clues to narrative and factual
e...
The speaker-follower models have proven to be effective in
vision-and-la...
We propose a general and efficient framework to control auto-regressive
...
Relational structure extraction covers a wide range of tasks and plays a...
Task-oriented dialogue systems aim to answer questions from users and pr...
Numerous events occur worldwide and are documented in the news, social m...
The ability to infer pre- and postconditions of an action is vital for
c...
The vast majority of text transformation techniques in NLP are inherentl...
Stories or narratives are comprised of a sequence of events. To compose
...
In this paper, we propose a simple yet effective way to generate pun
sen...
Poetry generation, and creative language generation in general, usually
...
Question answering (QA) is a fundamental means to facilitate assessment ...
Automatic evaluation metrics are essential for the rapid development of
...
We present a study on leveraging multilingual pre-trained generative lan...
Commonsense question answering (CQA) aims to test if models can answer
q...
The ability to sequence unordered events is an essential skill to compre...
Dialogue safety problems severely limit the real-world deployment of neu...
Language representations are an efficient tool used across NLP, but they...