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Improving the Effectiveness of Large Language Models

This project is closed.

Project summary

Program
PhD
Location
St Lucia
Research area
Information and computing sciences

Project description

Large Language Models such as ChatGPT offer enormous promise to users completing everyday tasks. However, these models confidently provide misinformation which can be very convincing. This project aims to explore new techniques to improve the effectiveness of LLMs.

Research environment

The IELab in the Data Science Group at the University of Queensland has an outstanding track record for research in the area of search and recommendation and an excellent track record for attracting external research funding.  The IELab has a record of sustained research excellence as demonstrated by: numerous publications in top venues in Information Retrieval and Health Informatics, numerous best paper awards, leading of international research initiatives in Information Retrieval (CLEF eHealth CHS, TREC Health Misinformation Track), regular presentations at conferences. Previous lab students have undertaken internships as part of their PhD (e.g. Bloomberg and Microsoft). The team has connections with top domestic and international researchers and organisations (e.g., CSIRO, QueenslandHealth, Google, Microsoft Research, Bing, TUW). IELab's research contributes to DAS and ITEE’s strategic research area of AI.

Scholarship

This project is supported by the Research project scholarship.

This scholarship includes:

  • living stipend of $36,400 per annum tax free (2025 rate), indexed annually
  • tuition fees covered.

This scholarship includes:

  • living stipend of $36,400 per annum tax free (2025 rate), indexed annually
  • tuition fees covered.

Learn more about the Research project scholarship.

Supervisor

Preferred educational background

Your application will be assessed on a competitive basis.

We take into account your:

  • previous academic record
  • publication record
  • honours and awards
  • employment history

A working knowledge of python, algorithms, and machine learning would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field/s of information retrieval / natural language processing and the potential for scholastic success.

A background or knowledge of computer science is highly desirable.

How to apply

Before you apply

Before submitting an application you should:

  1. check your eligibility for a Doctor of Philosophy (PhD)
  2. prepare your documentation
  3. contact Professor Shane Culpepper (s.culpepper@uq.edu.au) to discuss your interest and suitability
  4. submit your application by 18 March, 2025 18 March, 2025.

When you apply

You apply for this scholarship when you submit an application for your program. You don’t need to submit a separate scholarship application.

In your application ensure that under the ‘Scholarships and collaborative study’ section you select:

  • ‘My higher degree is not collaborative’
  • ‘I am applying for, or have been awarded a scholarship or sponsorship'
  • ‘Other’, then ‘Research Project Scholarship’ and in the ‘Name of scholarship’ field enter LLM-CULPEPPER.

Apply now