Large, pre-trained language models (PLMs) such as BERT and GPT have drastically
changed the Natural Language Processing (NLP) field. For numerous NLP tasks …

Neurodevelopmental Disorders (NDD) are a group of conditions with onset in the
developmental period characterized by deficits in the cognitive and social areas …

Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

While generative models produce high-quality images of concepts learned from a large-
scale database, a user often wishes to synthesize instantiations of their own concepts (for …

Large language models (LLMs) have demonstrated great capabilities in various natural
language understanding and generation tasks. These pre-trained LLMs can be further …

In this work, we explore" prompt tuning", a simple yet effective mechanism for learning" soft
prompts" to condition frozen language models to perform specific downstream tasks. Unlike …

The current modus operandi in NLP involves downloading and fine-tuning pre-trained
models consisting of millions or billions of parameters. Storing and sharing such large …

We present XHATE-999, a multi-domain and multilingual evaluation data set for abusive
language detection. By aligning test instances across six typologically diverse languages …

Sequential fine-tuning and multi-task learning are methods aiming to incorporate knowledge
from multiple tasks; however, they suffer from catastrophic forgetting and difficulties in …

While task-specific finetuning of pretrained networks has led to significant empirical
advances in NLP, the large size of networks makes finetuning difficult to deploy in multi-task …