As Large Language Models (LLMs) have advanced, they have brought forth n...
Hallucination in a foundation model (FM) refers to the generation of con...
Following the success of Word2Vec embeddings, graph embeddings (GEs) hav...
A hallmark of intelligence is the ability to use a familiar domain to ma...
Combating disinformation is one of the burning societal crises – about 6...
Word embeddings, i.e., semantically meaningful vector representation of
...
Over the past decade, analogies, in the form of word-level analogies, ha...
Automatic fact verification has received significant attention recently....
Joint embedding (JE) is a way to encode multi-modal data into a vector s...
NLP applications for code-mixed (CM) or mix-lingual text have gained a
s...
Contending hate speech in social media is one of the most challenging so...
Online hate speech, particularly over microblogging platforms like Twitt...
In this paper, we present the results of the SemEval-2020 Task 9 on Sent...
Information on social media comprises of various modalities such as text...
Sentiment analysis is essential in many real-world applications such as
...