View Proposal

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Proposer

Radu-Casian Mihailescu

Title

Evaluating Computational Creativity in Large Language Models (LLMs)

Goal

Description

Over the past years, LLMs have demonstrated impressive performance across various Natural Language Processing tasks. However, evaluating creativity of LLMs remains a challenging topic due to the subjective nature of creativity itself, as well as the lack of clear-cut metrics and benchmarking datasets. The aim of this project is to propose a framework for assessing the creative abilities of LLMs, drawing attention to the capabilities and limitations across a number of state-of-the-art LLMs.

Resources

Background

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Radu-Casian Mihailescu

Keywords

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Bachelor of Science in Computer Science (Cyber Security)
Master of Science in Robotics with Industrial Application
Postgraduate Diploma in Artificial Intelligence
Bachelor of Science in Statistical Data Science