4 citations · 6 across the 6 of their papers we have counts for
6 papers
The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs
Jiajia Tang, Sizhe Yuen, Francisco Gomez Medina +2
Parameter-Efficient Fine-Tuning (PEFT) commonly adapts large language models using a single shared Low-Rank Adapter (LoRA). This shared optimization space often suffers from interf…
Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory
Sizhe Yuen, Francisco Gomez Medina, Ting Su +2
Multi-agent systems built on Large Language Models (LLMs) show exceptional promise for complex collaborative problem-solving, yet they face fundamental challenges stemming from con…
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
Sizhe Yuen, Ting Su, Ziyang Wang +2
A question-answering (QA) system is to search suitable answers within a knowledge base. Current QA systems struggle with queries requiring complex reasoning or real-time knowledge…
The Effect of Epigenetic Blocking on Dynamic Multi-Objective Optimisation Problems
Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey
Hundreds of Evolutionary Computation approaches have been reported. From an evolutionary perspective they focus on two fundamental mechanisms: cultural inheritance in Swarm Intelli…
Epigenetic opportunities for Evolutionary Computation
Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey
Evolutionary Computation is a group of biologically inspired algorithms used to solve complex optimisation problems. It can be split into Evolutionary Algorithms, which take inspir…
Automatic Player Identification in Dota 2
Sizhe Yuen, John D. Thomson, Oliver Don
Dota 2 is a popular, multiplayer online video game. Like many online games, players are mostly anonymous, being tied only to online accounts which can be readily obtained, sold and…