Naseem, Usman

A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models

Naseem, U., Razzak, I., Khan, S. K., & Prasad, M. (2021) · ACM Transactions on Asian and Low-Resource Language Information Processing

Topic ModelingNatural Language Processing Techniques

Cited by 194

Large language models (LLM) in computational social science: prospects, current state, and challenges

Thapa, S., Shiwakoti, S., Shah, S. B., Adhikari, S., Veeramani, H., Nasim, M., & Naseem, U. (2025) · Social Network Analysis and Mining

Computational and Text Analysis MethodsSentiment Analysis and Opinion Mining

Cited by 74

Medical Question Summarization with Entity-driven Contrastive Learning

Lu, W., Wei, S., Peng, X., Wang, Y.-F., Naseem, U., & Wang, S. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 17

Review on enhancing clinical decision support system using machine learning

Masood, A., Naseem, U., Rashid, J., Kim, J., & Razzak, I. (2024) · CAAI Transactions on Intelligence Technology

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 14

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare

Shetty, A., Beheshti, A., Dras, M., & Naseem, U. (2025) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 2

Are Aligned Large Language Models Still Misaligned?

Naseem, U., Kashyap, G. S., Ali, R., Shabbir, E., Ray, S. K., Mohammad, A., & Seth, A. (2026) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 0