Humza Naveed

Papers

Total Citations

822

H-Index

About

Humza Naveed is a leading researcher in the field of natural language processing, with a primary focus on the architecture, capabilities, and societal implications of Large Language Models (LLMs). His most significant contribution is the development of comprehensive survey works that have become essential references for the AI community. His landmark paper, "A Comprehensive Overview of Large Language Models," published in 2023, has garnered 357 citations for systematically cataloging the rapid influx of research on architectural innovations and training methodologies. Building on this foundation, his 2025 updated version of the same survey has already amassed 465 citations, reflecting the explosive growth and critical need for structured knowledge in this domain. Through these influential reviews, Naveed has provided researchers and practitioners with a clear, organized roadmap of the field's evolution, from foundational transformer models to cutting-edge advancements. His work is widely recognized for its clarity and depth, making complex technical landscapes accessible to students and experts alike, and solidifying his role as a key synthesizer of knowledge in the age of generative AI.