activity
20202024
most citedOn Analyzing Annotation Consistency in Online Abusive Behavior Datasets

10 citations · 25 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2024

VisMin: Visual Minimal-Change Understanding

Rabiul Awal, Saba Ahmadi, Le Zhang +1

Fine-grained understanding of objects, attributes, and relationships between objects is crucial for visual-language models (VLMs). Existing benchmarks primarily focus on evaluating…

cs.CV2023★ 5 cited

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering

Rabiul Awal, Le Zhang, Aishwarya Agrawal

In this paper, we explore effective prompting techniques to enhance zero- and few-shot Visual Question Answering (VQA) performance in contemporary Vision-Language Models (VLMs). Ce…

cs.CL2023★ 2 cited

Evaluating GPT-3 Generated Explanations for Hateful Content Moderation

Han Wang, Ming Shan Hee, Md Rabiul Awal +2

Recent research has focused on using large language models (LLMs) to generate explanations for hate speech through fine-tuning or prompting. Despite the growing interest in this ar…

cs.CL2023★ 2 cited

Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection

Md Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar +2

Hate speech in social media is a growing phenomenon, and detecting such toxic content has recently gained significant traction in the research community. Existing studies have expl…

cs.CL2021

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection

Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee +1

Automated hate speech detection in social media is a challenging task that has recently gained significant traction in the data mining and Natural Language Processing community. Ho…

cs.SI2020★ 6 cited

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic

Md Rabiul Awal, Rui Cao, Sandra Mitrovic +1

The COVID-19 pandemic has developed to be more than a bio-crisis as global news has reported a sharp rise in xenophobia and discrimination in both online and offline communities. S…

cs.SI2020★ 10 cited

On Analyzing Annotation Consistency in Online Abusive Behavior Datasets

Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee +1

Online abusive behavior is an important issue that breaks the cohesiveness of online social communities and even raises public safety concerns in our societies. Motivated by this r…