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About

Talhat Khan is a PhD researcher in Artificial Intelligence at the University of Limerick. His research brings together natural language processing and machine learning, with a focus on large language models. He is based in the Department of Computer Science and Information Systems, where he is supervised by Professor Conor Ryan. His PhD is funded through the Research Ireland Centre for Research Training in Artificial Intelligence (CRT-AI).

His research looks at how to make large language models more efficient and easier to understand. It covers prompt optimisation and how the parts of a prompt shape a model's behaviour. It also covers parameter-efficient methods that let smaller models do work usually handled by much larger ones.

Talhat holds a Master's in Computer Systems Engineering from the University of Engineering and Technology (UET) Peshawar, where he worked on explainable machine learning. Before his PhD, he worked in industry as a programmer and data analyst.

Research Interests

Large Language Models Prompt Engineering & Optimisation Efficient Inference Parameter-Efficient Fine-Tuning Explainable AI

Recent Publications

2026

Question-Type-Aware Methodology for Prompt Selection to Optimise Energy Usage

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2026

Compact vs Mid-Scale LLMs for Customer Support: A Deployment-Oriented Benchmark of Unified Classification and Response Generation

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2024

A Comparative Analysis of Implicit Augmentation Techniques for Breast Cancer Diagnosis Using Multiple Views

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2022

An Explainable Regression Framework for Predicting Remaining Useful Life of Machines

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2023

Explainable event recognition

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View all publications on Google Scholar