Muhammad Arslan Manzoor

Ph.D. (NLP) candidate, MBZUAI, Abu-Dhabi - Masters in AI from NJUST, Nanjing, China.

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Masdar City, Abu Dhabi

I am working with Professor Preslav Nakov and Professor Monojit Choudhury on Media Profiling to assess bias and factuality at the outlet level. Our objective is to develop a methodology efficient for real-time analysis, minimizing reliance on extensive data crawling, and focusing on analyzing the media’s landscape position. We are also working on empathic similariy, emotional intelligence and cultural impact in LMs with Dr. Yuxia Wang. Before joining MBZUAI, I worked on Conversational AI for low-resource languages at Center for Language Engineering (CLE). In 2017, I was awarded the prestigious CSC scholarship for research based Master’s degree, which I completed in 2020 with a focus on Artificial Intelligence. During my research, I worked with Professor Jianfeng Lu on conducting sentiment analysis for low-resource language and code-switched data.

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News

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.
Oct 23, 2023 Our latest survey, titled Multimodality Representation Learning: A Survey on Evolution, Pretraining, and Its Applications is available in ACM Transactions on Multimedia Computing, Communications, and Applications.
Aug 23, 2023 Serving as reviewer at AACL.
Jun 1, 2023 Our team mentored students from the Undergraduate Research Internship Program (UGRIP) on a project focused on news media profiling.
Dec 10, 2022 Served as volunteer in EMNLP 2022 in Abu Dhabi.

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Selected publications

* denotes joint first authors

2024

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    Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs
    Muhammad Arslan Manzoor, Yuxia Wang, Minghan Wang, and Preslav Nakov
    arXiv preprint arXiv:2406.11250, 2024
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    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
    ArXiv, 2024

2023

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    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

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    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

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    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