31 citations · 56 across the 9 of their papers we have counts for
9 papers
Evolving Excellence: Automated Optimization of LLM-based Agents
Paul Brookes, Vardan Voskanyan, Rafail Giavrimis +18
Agentic AI systems built on large language models (LLMs) offer significant potential for automating complex workflows, from software development to customer support. However, LLM a…
evoML Yellow Paper: Evolutionary AI and Optimisation Studio
Lingbo Li, Leslie Kanthan, Michail Basios +10
Machine learning model development and optimisation can be a rather cumbersome and resource-intensive process. Custom models are often more difficult to build and deploy, and they…
Clone Detection on Large Scala Codebases
Wahidur Rahman, Yisen Xu, Fan Pu +7
Code clones are identical or similar code segments. The wide existence of code clones can increase the cost of maintenance and jeopardise the quality of software. The research comm…
Better Model Selection with a new Definition of Feature Importance
Fan Fang, Carmine Ventre, Lingbo Li +3
Feature importance aims at measuring how crucial each input feature is for model prediction. It is widely used in feature engineering, model selection and explainable artificial in…
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning
Yuxi Huan, Fan Wu, Michail Basios +3
Hyperparameter optimisation is a crucial process in searching the optimal machine learning model. The efficiency of finding the optimal hyperparameter settings has been a big conce…
Genetic Improvement @ ICSE 2020
William B. Langdon, Westley Weimer, Justyna Petke +13
Following Prof. Mark Harman of Facebook's keynote and formal presentations (which are recorded in the proceedings) there was a wide ranging discussion at the eighth international G…