Large Transformer-based Pretrained Language Models (PLMs) dominate almost all Natural
Language Processing (NLP) tasks. Nevertheless, they still make mistakes from time to time …

As the scale of vision models continues to grow, the emergence of Visual Prompt Tuning
(VPT) as a parameter-efficient transfer learning technique has gained attention due to its …

In recent times, BERT based transformer models have become an inseparable part of
the'tech stack'of text processing models. Similar progress is being observed in the speech …

Transformer models across multiple domains such as natural language processing and
speech form an unavoidable part of the tech stack of practitioners and researchers alike. Au …

Nowadays, individuals tend to engage in dialogues with Large Language Models, seeking
answers to their questions. In times when such answers are readily accessible to anyone …

Pre-trained language models has advanced the fields of natural language processing. The
exceptional capabilities exhibited by PLMs in NLP tasks have been attracting researchers to …

Emotions are fundamental to human behaviour. How we feel, individually and collectively,
determines how humanity evolves and advances into our shared future. The rapid …

Open-domain question answering (OpenQA) is an essential but challenging task in natural
language processing that aims to answer questions in natural language formats on the basis …

Language models have become nearly ubiquitous in natural language processing
applications achieving state-of-the-art results in many tasks including prosody. As the model …

Toxicity detection of text has been a popular NLP task in the recent years. In SemEval-2021
Task-5 Toxic Spans Detection, the focus is on detecting toxic spans within passages. Most …