86 citations · 508 across the 44 of their papers we have counts for
31 papers · 1 filter
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis
Md. Arid Hasan, Shudipta Das, Afiyat Anjum +4
The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare.…
LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking
Fahim Dalvi, Maram Hasanain, Sabri Boughorbel +10
The recent development and success of Large Language Models (LLMs) necessitate an evaluation of their performance across diverse NLP tasks in different languages. Although several…
Detecting and Reasoning of Deleted Tweets before they are Posted
Hamdy Mubarak, Samir Abdaljalil, Azza Nassar +1
Social media platforms empower us in several ways, from information dissemination to consumption. While these platforms are useful in promoting citizen journalism, public awareness…
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models
Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi +2
Misinformation spreading in mainstream and social media has been misleading users in different ways. Manual detection and verification efforts by journalists and fact-checkers can…
LAraBench: Benchmarking Arabic AI with Large Language Models
Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury +13
Recent advancements in Large Language Models (LLMs) have significantly influenced the landscape of language and speech research. Despite this progress, these models lack specific b…
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani +2
Propaganda is the expression of an opinion or an action by an individual or a group deliberately designed to influence the opinions or the actions of other individuals or groups wi…
ConceptX: A Framework for Latent Concept Analysis
Firoj Alam, Fahim Dalvi, Nadir Durrani +3
The opacity of deep neural networks remains a challenge in deploying solutions where explanation is as important as precision. We present ConceptX, a human-in-the-loop framework fo…
On the Transformation of Latent Space in Fine-Tuned NLP Models
Nadir Durrani, Hassan Sajjad, Fahim Dalvi +1
We study the evolution of latent space in fine-tuned NLP models. Different from the commonly used probing-framework, we opt for an unsupervised method to analyze representations. M…
Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet Text
Prerona Tarannum, Firoj Alam, Md. Arid Hasan +1
The wide use of social media and digital technologies facilitates sharing various news and information about events and activities. Despite sharing positive information misleading…
Analyzing Encoded Concepts in Transformer Language Models
Hassan Sajjad, Nadir Durrani, Fahim Dalvi +3
We propose a novel framework ConceptX, to analyze how latent concepts are encoded in representations learned within pre-trained language models. It uses clustering to discover the…
Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Md. Shad Akhtar +7
The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audi…
Discovering Latent Concepts Learned in BERT
Fahim Dalvi, Abdul Rafae Khan, Firoj Alam +3
A large number of studies that analyze deep neural network models and their ability to encode various linguistic and non-linguistic concepts provide an interpretation of the inner…
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification
Rabindra Nath Nandi, Firoj Alam, Preslav Nakov
The spread of fake news, propaganda, misinformation, disinformation, and harmful content online raised concerns among social media platforms, government agencies, policymakers, and…
Detecting the Role of an Entity in Harmful Memes: Techniques and Their Limitations
Rabindra Nath Nandi, Firoj Alam, Preslav Nakov
Harmful or abusive online content has been increasing over time, raising concerns for social media platforms, government agencies, and policymakers. Such harmful or abusive content…
QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media
Preslav Nakov, Firoj Alam, Yifan Zhang +2
Fighting the ongoing COVID-19 infodemic has been declared as one of the most important focus areas by the World Health Organization since the onset of the COVID-19 pandemic. While…
ArabGend: Gender Analysis and Inference on Arabic Twitter
Hamdy Mubarak, Shammur Absar Chowdhury, Firoj Alam
Gender analysis of Twitter can reveal important socio-cultural differences between male and female users. There has been a significant effort to analyze and automatically infer gen…
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination
Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury +1
The emergence of the COVID-19 pandemic and the first global infodemic have changed our lives in many different ways. We relied on social media to get the latest information about t…
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal +4
The growing use of social media has led to the development of several Machine Learning (ML) and Natural Language Processing(NLP) tools to process the unprecedented amount of social…
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed +16
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to…
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Shaden Shaar, Firoj Alam, Giovanni Da San Martino +4
We present the results and the main findings of the NLP4IF-2021 shared tasks. Task 1 focused on fighting the COVID-19 infodemic in social media, and it was offered in Arabic, Bulga…
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar
Preslav Nakov, Firoj Alam, Shaden Shaar +2
While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer fake news may hinder efforts to recover from th…
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
Shaden Shaar, Nikola Georgiev, Firoj Alam +3
Given the recent proliferation of false claims online, there has been a lot of manual fact-checking effort. As this is very time-consuming, human fact-checkers can benefit from too…
A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models
Firoj Alam, Arid Hasan, Tanvirul Alam +4
Bangla -- ranked as the 6th most widely spoken language across the world (https://www.ethnologue.com/guides/ethnologue200), with 230 million native speakers -- is still considered…
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
Firoj Alam, Umair Qazi, Muhammad Imran +1
Social networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large vol…