17 citations · 54 across the 14 of their papers we have counts for
14 papers
Disentangling Perception and Reasoning in Multimodal LLMs via Reward Design
Omar Sharif, Eftekhar Hossain, Nikhil Singh +1
Reinforcement learning with verifiable rewards has driven major gains in LLM reasoning, and it is intuitive to assume this recipe will transfer well to multimodal models. However,…
Deciphering Hate: Identifying Hateful Memes and Their Targets
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque +1
Internet memes have become a powerful means for individuals to express emotions, thoughts, and perspectives on social media. While often considered as a source of humor and enterta…
Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque +1
Multimodal hateful content detection is a challenging task that requires complex reasoning across visual and textual modalities. Therefore, creating a meaningful multimodal represe…
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity
Joseph Gatto, Omar Sharif, Parker Seegmiller +2
Amidst the sharp rise in the evaluation of large language models (LLMs) on various tasks, we find that semantic textual similarity (STS) has been under-explored. In this study, we…
Characterizing Information Seeking Events in Health-Related Social Discourse
Omar Sharif, Madhusudan Basak, Tanzia Parvin +5
Social media sites have become a popular platform for individuals to seek and share health information. Despite the progress in natural language processing for social media mining,…
Theme-driven Keyphrase Extraction to Analyze Social Media Discourse
William Romano, Omar Sharif, Madhusudan Basak +2
Social media platforms are vital resources for sharing self-reported health experiences, offering rich data on various health topics. Despite advancements in Natural Language Proce…
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
Avishek Das, Omar Sharif, Mohammed Moshiul Hoque +1
Although research on emotion classification has significantly progressed in high-resource languages, it is still infancy for resource-constrained languages like Bengali. However, u…
NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
In the past few years, the meme has become a new way of communication on the Internet. As memes are the images with embedded text, it can quickly spread hate, offence and violence.…
NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
In recent years, several systems have been developed to regulate the spread of negativity and eliminate aggressive, offensive or abusive contents from the online platforms. Neverth…
NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers
Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
The increasing accessibility of the internet facilitated social media usage and encouraged individuals to express their opinions liberally. Nevertheless, it also creates a place fo…
Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media
Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
This paper illustrates a detail description of the system and its results that developed as a part of the participation at CONSTRAINT shared task in AAAI-2021. The shared task comp…
TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network
Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
This paper illustrates the details description of technical text classification system and its results that developed as a part of participation in the shared task TechDofication 2…
SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque +1
The amount of textual data generation has increased enormously due to the effortless access of the Internet and the evolution of various web 2.0 applications. These textual data pr…
Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naive Bayes
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
Recently, sentiment polarity detection has increased attention to NLP researchers due to the massive availability of customer's opinions or reviews in the online platform. Due to t…