Self-supervised learning (SSL) has shown promising results in various sp...
In the era of extensive intersection between art and Artificial Intellig...
Self-supervised learning (SSL) has recently emerged as a promising parad...
Social alignment in AI systems aims to ensure that these models behave
a...
Interactive Natural Language Processing (iNLP) has emerged as a novel
pa...
Instruction tuning is widely recognized as a key technique for building
...
We present Second Thought, a new learning paradigm that enables language...
The deep learning community has witnessed an exponentially growing inter...
We propose EnDex, the first human-reaction based model to evaluate dialo...
Successful and effective communication between humans and AI relies on a...
The performance of existing text style transfer models is severely limit...
Pre-trained language models (LMs) have been shown to memorize a substant...
Although automated metrics are commonly used to evaluate NLG systems, th...
Generating context-aware language that embodies diverse emotions is an
i...
Networks found in the real-world are numerous and varied. A common type ...
Current large-scale language models can be politically biased as a resul...
Political polarization in the US is on the rise. This polarization negat...
Metaphors are ubiquitous in human language. The metaphor detection task ...
The field of NLP has seen unprecedented achievements in recent years. Mo...
Detecting offensive language on social media is an important task. The
I...
Data augmentation is proven to be effective in many NLU tasks, especiall...
Authorship identification tasks, which rely heavily on linguistic styles...
Emojis are a succinct form of language which can express concrete meanin...
Instagram has become a great venue for amateur and professional photogra...