Fine-tuning large pretrained models is an effective transfer mechanism in NLP. However, in
the presence of many downstream tasks, fine-tuning is parameter inefficient: an entire new …

Over the past few years, researchers have been focusing on the identification of offensive
language on social networks. In places where English is not the primary language, social …

Learning user representations is a vital technique toward effective user modeling and
personalized recommender systems. Existing approaches often derive an individual set of …

We propose an adapter based multi-domain Transformer based language model (LM) for
Transformer ASR. The model consists of a big size common LM and small size adapters …

Recently, the size of automatic speech recognition (ASR) models has been increasing,
similar to large language models (LLMs), and efficient tuning to enhance the performance of …

In a world, where microblogging is a regular component of modern life, COVID-19, a sudden
pandemic, made its own way with public opinion in social networking sites too. People …

Point clouds, as a primary representation of 3D data, can be categorized into scene domain
point clouds and object domain point clouds based on the modeled content. Masked …

Abstract Language Models such as BERT has been an important factor of deep learning-
based natural language processing. Pre-training the transformer-based language models …

Speaking or expressing oneself in an abusive manner is a form of verbal abuse that targets
individuals or groups on the basis of their membership in a particular social group, which is …

Recent advancements in artificial intelligence, particularly in natural language processing
(NLP) and large language models (LLM), have utilized deep neural networks trained with …