7 citations · 11 across the 10 of their papers we have counts for
10 papers
Beyond Verdicts: A Graph-Based Analysis of Human and LLM Reasoning in Scientific Fact-Checking
Abdul Ghafoor, Muhammad Arslan Manzoor, Yufang Hou
Misinformation that cites legitimate papers can be especially harmful when it distorts what those studies actually report. While existing automatic fact-checking systems based on l…
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
Maria Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli +10
Human annotation is the empirical foundation of much NLP research, from dataset construction to model evaluation, but papers often leave unclear who produced the annotations and ho…
A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis
Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel +4
News outlets shape public opinion at a scale that makes automated detection of political bias and factuality essential. However, the field still lacks unified resources, comprehens…
PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association
Abdul Hannan, Muhammad Arslan Manzoor, Shah Nawaz +3
We study the task of learning association between faces and voices, which is gaining interest in the multimodal community lately. These methods suffer from the deliberate crafting…
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
Sarfraz Ahmad, Hasan Iqbal, Momina Ahsan +6
The rapid adoption of Large Language Models (LLMs) has raised important concerns about the factual reliability of their outputs, particularly in low-resource languages such as Urdu…
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov, Muhammad Arslan Manzoor, Velibor Bojkovic +9
Deep learning has fundamentally reshaped the landscape of artificial intelligence over the past decade, enabling remarkable achievements across diverse domains. At the heart of the…
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov +2
In the current era of rapidly growing digital data, evaluating the political bias and factuality of news outlets has become more important for seeking reliable information online.…
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs
Muhammad Arslan Manzoor, Yuxia Wang, Minghan Wang +1
Empathy plays a pivotal role in fostering prosocial behavior, often triggered by the sharing of personal experiences through narratives. However, modeling empathy using NLP approac…
Factuality of Large Language Models: A Survey
Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor +4
Large language models (LLMs), especially when instruction-tuned for chat, have become part of our daily lives, freeing people from the process of searching, extracting, and integra…
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications
Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian +3
Multimodality Representation Learning, as a technique of learning to embed information from different modalities and their correlations, has achieved remarkable success on a variet…