Muhammad Arslan Manzoor

PostDoc at IT:U, Austria - Ph.D. (NLP) from MBZUAI, Abu-Dhabi - Masters (AI) from NJUST, Nanjing China.

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@ IT:U, Linz, Austria

I am Postdoctoral Researcher at IT:U Interdisciplinary Transformation University, Austria, working with Prof. Yufang Hou on misrepresentation of scientific claims in Media. During my PhD at MBZUAI, I explored Media Profiling to assess bias and factuality of News Media with Professor Preslav Nakov. One of the objectives was to develop a efficient methodology for real-time analysis, minimizing reliance on extensive data crawling, and focusing on analyzing the media’s position through media graphs. I am also interested in empathic comprehension, emotional intelligence and cultural impact in LMs. Before joining MBZUAI, I worked on Conversational AI for low-resource languages at Center for Language Engineering (CLE). I completed my Master’s degree in Artificial Intelligence in 2020 at NJUST in Nanjing, China, under the supervision of Professor Jianfeng Lu.

Email / Google Scholar / Github / LinkedIn / CV

News

Sep 1, 2025 Started new position as Postdoctoral Researcher at IT:U
Aug 25, 2025 UrduFactCheck accepted in EMNLP 2025
Jan 27, 2025 Media Graph Mind (MGM) accepted in NAACL-2025 (oral).
Sep 20, 2024 Two Papers accepted in EMNLP 2024
Jun 16, 2024 We have released the paper Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs.
Jun 1, 2024 A Survey on Predicting the Factuality and the Bias of News Media is accepted in ACL-2024
Feb 1, 2024 Survey on Factuality of Large Language Models is released
Nov 27, 2023 Serving as reviewer at TOIS.

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Selected publications

* denotes joint first authors

2025

  1. MGM_framework.png
    MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
    Muhammad Arslan Manzoor*, Ruihong Zeng*, Dilshod Azizov, Preslav Nakov, and Shangsong Liang
    NAACL, 2025

2024

  1. into_emp.png
    Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs
    Muhammad Arslan Manzoor*, Yuxia Wang*, Minghan Wang, and Preslav Nakov
    EMNLP, 2024
  2. fact-checker.png
    Factuality of Large Language Models in the Year 2024
    Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Georgiev, Rocktim Jyoti Das, and Preslav Nakov
    EMNLP, 2024
  3. joint.png
    A Survey on Predicting the Factuality and the Bias of News Media
    Preslav Nakov, Jisun An, Haewoon Kwak, Muhammad Arslan Manzoor, Zain Muhammad Mujahid, and Husrev Sencar
    ACL, 2024

2023

  1. mm_survey.png
    Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications
    Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, and Shangsong Liang
    ACM Transactions on Multimedia Computing, Communications and Applications, 2023

2022

  1. contrastive_survey.png
    Contrastive Self-Supervised Learning: A Survey on Different Architectures
    Adnan Khan, Sarah Albarri, and Muhammad Arslan Manzoor
    2022 2nd International Conference on Artificial Intelligence (ICAI), 2022

2020

  1. sentiment_analysis.png
    Lexical Variation and Sentiment Analysis of Roman Urdu Sentences with Deep Neural Networks
    Muhammad Arslan Manzoor, Saqib Mamoon, Son Kei, Ali Zakir, Muhammad Adil, and Jianfeng Lu
    International Journal of Advanced Computer Science and Applications, 2020