Zeeshan Memon

Research Assistant, Emory University.

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I am conducting research on the limitations of LLMs in task-specific performance and developing methodologies to enhance their adaptability for specialized tasks. My work spans the fields of Computer Vision, Natural Language Processing, and Machine Learning efficacy.

I earned my Bachelor’s degree in Software Engineering from National University of Science and Technology in 2024, where I worked under supervision of Dr. Faisal Shafait. Prior to this, I completed a research internship at CERN during the summer of 2023 and worked with Dr. Adrian Ulges at RheinMain University of Applied Sciences in the summer of 2022 .

News

Jul 27, 2024 One paper on prompt optimization is presented in ICML 2024 Workshop on LLMs and Cognition
May 27, 2024 Awarded the Rector’s Gold Medal for Best Undergraduate Thesis (Awarded to one thesis)
Aug 16, 2023 Lightning talk at CERN on foundation models for Fast Simulation.
May 22, 2023 Awarded fully funded MBZUAI undergraduate research internship.
Mar 28, 2023 Selected for OpenLab Summer Research Student Programme at CERN (1.5% acceptance rate).

Selected Publications

  1. Methodology02(1).png
    LLM-Informed Discrete Prompt Optimization
    Zeeshan Memon, Muhammad Arham, Adnan Ul-Hasan, and Faisal Shafait
    In ICML 2024 Workshop on LLMs and Cognition, 2024
  2. new.png
    Content-Aware Urdu Handwriting Generation
    Zeeshan Memon, Adnan Ul-Hasan, and Faisal Shafait
    In International Conference on Document Analysis and Recognition, 2023