189 citations · 213 across the 15 of their papers we have counts for
15 papers
Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic Writing
Humam Khan, Md Tabrez Nafis, Shahab Saquib Sohail +2
Large Language models (LLMs) show extraordinary abilities, but they are still prone to hallucinations, especially when we use them for generating Academic content. We have investig…
IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models
Aarish Shah Mohsin, Mohammed Tayyab Ilyas Khan, Mohammad Nadeem +3
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale training data with Indian being particularly misrepresented. Existing fairness-a…
Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals
Zohaib Hasan Siddiqui, Dayam Nadeem, Mohammad Masudur Rahman +3
Vision language models (VLMs), such as CLIP and OpenCLIP, can encode and reflect stereotypical associations between medical professions and demographic attributes learned from web-…
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents
Mohammad Amaan Sayeed, Mohammed Talha Alam, Raza Imam +2
Centuries-old Islamic medical texts like Avicenna's Canon of Medicine and the Prophetic Tibb-e-Nabawi encode a wealth of preventive care, nutrition, and holistic therapies, yet rem…
Beyond Specialization: Benchmarking LLMs for Transliteration of Indian Languages
Gulfarogh Azam, Mohd Sadique, Saif Ali +4
Transliteration, the process of mapping text from one script to another, plays a crucial role in multilingual natural language processing, especially within linguistically diverse…
Gender Bias in Text-to-Video Generation Models: A case study of Sora
Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria +2
The advent of text-to-video generation models has revolutionized content creation as it produces high-quality videos from textual prompts. However, concerns regarding inherent bias…
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models
Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail +2
Animal stereotypes are deeply embedded in human culture and language. They often shape our perceptions and expectations of various species. Our study investigates how animal stereo…
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation
Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria +2
Foundational Large Language Models (LLMs) have changed the way we perceive technology. They have been shown to excel in tasks ranging from poem writing and coding to essay generati…
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar +5
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning (DL). However, the latter faces various issues, including the lack of data or an…
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions
Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur +5
Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various do…
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review
Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail +5
A filter bubble refers to the phenomenon where Internet customization effectively isolates individuals from diverse opinions or materials, resulting in their exposure to only a sel…
How They Tweet? An Insightful Analysis of Twitter Handles of Saudi Arabia
Mohammad Muzammil Khan, Shahab Saquib Sohail, Darakhshan Ishrat
The emergence of social network site has attracted many users across the world to share their feeling, news, achievements and personal thoughts over several platforms. The recent c…
Crawling Twitter data through API: A technical/legal perspective
Shahab Saquib Sohail, Mohammad Muzammil Khan, Mohd Arsalan +4
The popularity of the online media-driven social network relation is proven in today's digital era. The many challenges that these emergence has created include a huge growing netw…
An Analysis of Twitter Users From The Perspective of Their Behavior, Language, Region and Development Indices -- A Study of 80 Million Tweets
Shahab Saquib Sohail, Mohammad Muzammil Khan, M. Afshar Alam
The need for a comprehensive study to explore various aspects of online social media has been instigated by many researchers. This paper gives an insight into the social platform,…
Can we aggregate human intelligence? an approach for human centric aggregation using ordered weighted averaging operators
Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali +2
The primary objective of this paper is to present an approach for recommender systems that can assimilate ranking to the voters or rankers so that recommendation can be made by giv…