1 citations · 1 across the 7 of their papers we have counts for
7 papers
Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM Serving
Yasmin Moslem, Magdalena Kacmajor, Vasudevan Nedumpozhimana +11
Efficient deployment of large language models (LLMs) in production forces a trade-off between accuracy and cost. Operators often default to a single model that is either expensive…
Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation
Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan +10
Prompt engineering has proven to be a crucial step in leveraging pretrained large language models (LLMs) in solving various real-world tasks. Numerous solutions have been proposed…
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning
Yucheng Shi, David Lynch, Alexandros Agapitos
In Multi-objective Reinforcement Learning (MORL) agents are tasked with optimising decision-making behaviours that trade-off between multiple, possibly conflicting, objectives. MOR…
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation
Cengis Hasan, Alexandros Agapitos, David Lynch +4
We present a method that addresses the pain point of long lead-time required to deploy cell-level parameter optimisation policies to new wireless network sites. Given a sequence of…
Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach
Xinyu Gao, Wenqiang Yi, Alexandros Agapitos +2
Coverage and capacity are the important metrics for performance evaluation in wireless networks, while the coverage and capacity have several conflicting relationships, e.g. high t…
Offline Contextual Bandits for Wireless Network Optimization
Miguel Suau, Alexandros Agapitos, David Lynch +3
The explosion in mobile data traffic together with the ever-increasing expectations for higher quality of service call for the development of AI algorithms for wireless network opt…
A GP-MOEA/D Approach for Modelling Total Electron Content over Cyprus
Andreas Konstantinidis, Haris Haralambous, Alexandros Agapitos +1
Vertical Total Electron Content (vTEC) is an ionospheric characteristic used to derive the signal delay imposed by the ionosphere on near-vertical trans-ionospheric links. The majo…