Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

The growth of the Internet has expanded the amount of data expressed by users across
multiple platforms. The availability of these different worldviews and individuals' emotions …

The advent of pre-trained language models has directed a new era of Natural Language
Processing (NLP), enabling us to create powerful language models. Among these models …

Artificial intelligence (AI) has significantly impacted various fields. Large language models
(LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-1 Jumbo etc., have …

The synthesis of facial images from textual descriptions is a relatively difficult subfield of text-
to-image synthesis. It is applicable in various domains like Forensic Science, Game …

Hashing has wide applications in image retrieval at large scales due to being an efficient
approach to approximate nearest neighbor calculation. It can squeeze complex high …

This paper introduces a novel informal Bangla word embedding for designing a cost-efficient
solution for the task “Violence Inciting Text Detection” which focuses on developing …

Data visualization is critical to unraveling hidden information from complex and high-
dimensional data. Interpretable visualization methods are critical, especially in the biology …

The semantic word similarity task aims to quantify the degree of similarity between a pair of
words. In literature, efforts have been made to create standard evaluation resources to …

Emotion detection from user-generated text has drawn tremendous attention in the recent
era for multiple reasons. Hence, there remain significant prospects in the urge for a state-of …